B.H. Far

Size: px
Start display at page:

Download "B.H. Far"

Transcription

1 SENG 521 Software Reliability & Software Quality Chapter 8: System Reliability Department of Electrical & Computer Engineering, University of Calgary B.H. Far 1

2 Contents System reliability Reliability Block Diagram (RBD) Serial and parallel configuration Active redundancy Hazard analysis: FMEA, FTA 2

3 Dependability Models Dependability models capture conditions that make a system fail in terms of the structural relationships between the system components Dependability models Reliability Graph Fault Tree model Reliability Block Diagram far@ucalgary.ca 3

4 System Reliability /1 A system usually consists of components. Each component consists of sub-components. Components may have Different reliability Different dependencies among each other System reliability is a function of the reliabilities of the (sub-) components and of the relationships between the components. far@ucalgary.ca 4

5 Reliability Block Diagram (RBD) Reliability Block Diagram (RBD) is a graphical representation of how the components of a system are connected from reliability ypoint of view. Reliability of the system is derived in terms of reliabilities of its individual components The most common configurations of an RBD are the series and parallel configurations. A system is usually composed of combinations i of serial and parallel configurations. RBD analysis is essential for determining reliability, availability and down time of the system. far@ucalgary.ca 5

6 Reliability Block Diagram (RBD) In a serial ilsystem configuration, i the elements must all work for the system to work and the system fails if one of the components fails. The overall reliability of a serial system is lower than the reliability of its individual id components. In parallel configuration, the components are considered to be redundant and the system will still cease to work if all the parallel components fail. The overall reliability of a parallel system is higher than the reliability of its individual components. far@ucalgary.ca 6

7 RBD Example: Storage /1 host bus adapter (HBA) COPYRIGHT: DELL 7

8 RBD Example: Storage /2 host bus adapter (HBA) COPYRIGHT: DELL 8

9 RBD: Process Steps 1. Define boundary of the system for analysis 2. Break system into functional components 3. Determine serial-parallel combinations 4. Represent each components as a separate block in the diagram 5. Draw lines connecting the blocks in a logical order for mission success far@ucalgary.ca 9

10 Serial System Reliability /1 No redundancy d ALL component of the system are needed to make the system function properly If any one of the components fails, the system fails Example diagram m block d System Power Unit CPU Hard Drive GPU far@ucalgary.ca 10

11 Serial System Reliability /2 Reliability Block Diagram System is composed of n independent serially connected tdcomponents. Failure of any component has a cross system effect, i.e., results in failure of the whole system. Example... R 1 / 1 R 2 / 2 Power Unit R1 /1/ CPU R2 /2 Hard Drive R3 /3 GPU R4 /4 far@ucalgary.ca 11

12 Combining Reliabilities Serial system reliability can be calculated from component reliabilities, if the components fail independently of each other. For serial systems: Q p Q p Qp number of components R R and k 1 k k 1 k Rk component reliability Components reliabilities (Rk) must be expressed with respect to a common interval. A serial system has always smaller reliability than its components (because Rk 1). far@ucalgary.ca 12

13 Example: Serial System The system is composed of 3 independent serially connected components R1 = 0.95 R2 = R3 = 0.82 Note: all Rs must be given for a common duration, e.g., 10 hours of operation. Rsystem = = Serial system reliability is smaller than any individual reliability of the components far@ucalgary.ca 13

14 Parallel System Reliability /1 System with Redundancy d Only ONE out of N (identical) components is needed to make the system function properly If ALL of the components fail, the system fails Example System block diagram Server 1 Server 2 far@ucalgary.ca 14

15 Parallel System Reliability /2 System is composed of n independent components connected in parallel. Failure of all components results in the failure of the whole system (principle of active redundancy). Q p unreliability F F k 1 p p p 1 k 1 1 k k Q Q Q R F R and 1 1 k1 k1 k 1 k R 1 /1 R 2 /2... far@ucalgary.ca 15

16 Parallel System Example The system is composed of 2 identical servers connected in parallel R1 = R2 = Server 1 Rs1 /s1 Server 2 Rsystem = 1 (( ) Rs2 /s2 ( )) = Parallel system reliability is greater than any individual reliability of the components far@ucalgary.ca 16

17 Sequential System Reliability When one component fails, the next one is assigned to fulfill the job (e.g., telephone switching circuits) This is done in sequence until no components left Reliability for such system: C 1 C 2 C i R sys (t) n1 i λ t i λ t i! i 0 e i C n far@ucalgary.ca 17

18 Mixed System Reliability /1 System with Redundancy d Only ONE out of N set of components is needed to make the system function properly If ALL sets of components fail, the system fails Example System block diagram Power Unit Processor GPU Power Unit Processor GPU far@ucalgary.ca 18

19 Mixed System Example Reliability Block Diagram Server 1 Rs1 /s1 System level Component level Power Unit R1 /1 Server 2 Rs2 /s2/ Processor R2 /2 GPU R3 /3 Power Unit Processor GPU R R1 /1 R R2 /2 R R3 /3 far@ucalgary.ca 19

20 Parallel-Series System R 11 R 12 R 1j R 1n path R 21 R 22 R 2j R 2n R i1 R i2 R ij R in R m1 R m2 R mj R mn n Path reliability Ri Rij j1 System reliability R m 1 (1-R i) 1 i 1 m i 1 (1- n j 1 R ij) far@ucalgary.ca 20

21 Various Configurations /3 Series-Parallel configuration Power Unit 1 Processor 1 GPU 1 Bus 1 Bus 2 Power Unit 2 Processor 2 GPU 2 far@ucalgary.ca 21

22 Various Configurations /4 Reliability Block Diagram for Series-Parallel configuration Power Unit Processor GPU R1 /1 R2 /2 R3 /3 Power Unit Processor GPU R1 /1 R2 /2 R3 /3 22

23 Series-Parallel System R 11 R 12 R 1j R 1n R 21 R 22 R 2j R 2n R i1 R i2 R ij R in R m1 R m2 R mj R mn subsystem Subsystem reliability R System reliability R j 1 m i1 (1-R ij) n n m R j 1 j1 1 i j (1-Rij) j 1 far@ucalgary.ca 23

24 Other Constructs One-way bridge Two-way bridge 24

25 Active Redundancy Employs parallel lsystems. All components are active at the same time. Each component is able to meet the functional requirements of the system. Only one component is required to meet the functional requirements of the system. Each component satisfies the minimum reliability condition i for the system. System only fails if all components fail. far@ucalgary.ca 25

26 m out of n System System has n components. At least m components need to work correctly for the system to function properly (m n). m=n: serial system m=1: parallel system e.g.: airplane with 4 engines can fly with only 2 engines. R 1 R 2 R i R n m/n Assumption: All components R have the same reliability. sys (t) 1 m1 i0 n R(t) i i (1 R(t)) n i n i n! i! (n i)! far@ucalgary.ca 26

27 Example: Bicycle Can you find any redundancy? Handle? Saddle? Frame? Brake? Gear? Wheel? Wheel spokes? SENG521 (Winter 2008) 27

28 RBD: Example /1 Possible single point of failure (SPF) 28

29 RBD: Example /2 Possible over redundancy 29

30 SPF: How to Avoid? Adopt redundancy d Use dissimilar i il methods consider common-cause vulnerability Adopt a fundamental design change Use equipment which is extremely reliable/robust Perform frequent Preventive Maintenance/ Replacement repair before failure happens Reduce or eliminate service and/or environmental stresses extreme stress leads to failure far@ucalgary.ca 30

31 Example 1 In reliability prediction for an assembled system we usually use a bottoms-up approach by estimating the failure rate for each subsystem and then combining the failure rates for the entire assembly. The following figure illustrates a system in which the subsystems A, B, C, and D are in a serial configuration. Each subsystem is composed of several parts which h are connected as serial or parallel l as shown. far@ucalgary.ca 31

32 Example 1 (cont d) The failure rates of serial parts 1, 2, and 3 are 0.1, 0.3, and 0.5 per hour, respectively. Determine the failure rate and MTTF for subsystem A. A failures per hour A MTTF A hours 0.9 far@ucalgary.ca 32

33 Example 1 (cont d) The failure rates of parallel parts 4, 5, and 6 in subsystem B are 0.2, 0.4, and 0.25 per hour, respectively. Determine the failure rate and MTTF for subsystem B. B R e t 1 (1 R )(1 R )(1 R ) B B RB Bt (1 )(1 )(1 ) R e e e e B e t = failures per hour B MTTF B 1 B hours far@ucalgary.ca 33

34 Example 1 (cont d) The failure rate of parallel parts 7 is constant and is 0.2 per hour. Determine the failure rate and MTTF for subsystem C in which at least 2 out of 3 items must be working. m1 n i ni 0.2 R C 1 R 7 1 R 7 R 7 e i0 i R 1 R (1 R R (1 R 1 (1 R 3 R (1 R C 7 7) 7 7) 7) 7 7) 0 1 R C t RC e =1.004 C failures per hour 1 MTTF C hours ( ) ( ) = C far@ucalgary.ca 34

35 Example 1 (cont d) The failure rates of parallel lparts 8 and d9i in subsystem D are 0.25 and 0.2 per hour, respectively. Determine the failure rate and MTTF for subsystem D. R e 1 (1 R )(1 R ) D Dt 8 9 t D R e 1 (1 e )(1 e ) R D D Dt e = D 0409 failures per hour 1 MTTFD hours D far@ucalgary.ca 35

36 Example 1 (cont d) Determine the overall failure rate and MTTF for the whole system. system A B C D system failures per hour MTTF system 1 system hours far@ucalgary.ca 36

37 Example 2 The fastening of two mechanical parts in an automobile brake system should ldbe reliable. It is E3 E1 done by means of two flanges E2 which h are pressed together with 4 E4 bolt and nut pairs E1 to E4 placed 90 degrees to each other. Experience shows that the fastening hld holds when at least one bl bolt and nut pair located opposite to each other work, i.e., (E1 and E2) or (E3 and E4) far@ucalgary.ca 37

38 Example 2 (cont d) a) Draw the reliability block diagram (RBD) for this fixation of the system. far@ucalgary.ca 38

39 Example 2 (cont d) b) Compute reliability of the fixation described in (a) () if all bolt and nut pairs have the reliability of R=0.90 for 50K miles of operation. R1 = R2 = = 0.81 Rsystem = 1 (1 R1) (1 R2) = 1 (1 0.81) )(1 0.81) = far@ucalgary.ca 39

40 Example 2 (cont d) c) Name the redundancy type if any pair of bolts and nuts were sufficient for the required brake function. Two-out-of-four f redundancy. d far@ucalgary.ca 40

41 Example 2 (cont d) d) Compute reliability for case (c) if all bolt and nut pairs have the reliability of R=0.90 for 50K miles of operation. R e) What can be concluded? far@ucalgary.ca 41

42 RBD: When and How When to use RBD? When reliability of a complex system must be calculated and the reliability-wise weaknesses of the system must be identified. How to use RBD? Draw the RDB diagram. sometimes not that simple! Calculate the system reliability using the RBD diagram. Perform calculation such as availability and downtime. There are a number of automated tools, integrated with the other methods, such as Fault Tree Analysis (FTA), to generate the diagram and to analyze it. far@ucalgary.ca 42

43 RBD: Benefits & Limitations RBD is the simplest way of visualizing i the reliability of the complex systems. The benefits of the RBD are: Establishes reliability goals; Evaluates component failure impact on overall system safety; Provides a basis for what if analysis; Allocates component reliability by calculating system MTBF; Provides cost savings in large system trouble-shooting; Estimates system reliability; Analyzes various system configurations in trade- off studies; Identifies potential design problems; Determines system sensitivity to component failures Disadvantages are that some complex constructs, such as standby, branching and dload sharing, etc., cannot tbe clearly l represented using the traditional RBD constructs. far@ucalgary.ca 43

44 RBD: Conclusion Restricting assumptions: Statistical independence Failures independence Repairs independence d far@ucalgary.ca 44

45 Hazard Analysis A common mistake in engineering, is to put too much confidence in software. There seems to be a feeling among non-software professionals that software will not or cannot fail, which leads to complacency and over reliance on computer functions. Nancy G. Leveson Leveson, N.G., Safeware System Safety and Computers, Addison-Wesley, far@ucalgary.ca 45

46 Hazard Analysis Goal Identify events that may eventually lead to accidents Determine impact on system Techniques FMEA: Failure Modes and Effects Analysis FMECA: Failure Modes, Effects and Criticality Analysis ETA: Event Tree Analysis FTA: Fault Tree Analysis HAZOP: HAZard and OPerability studies 46

47 FMEA FMEA is a technique to identify and prioritize how systems fail, and identify the effects of failure. FMEA is used when Designing products or processes, to identify and avoid failure-prone designs. Investigating why existing systems have failed and to identify possible causes. Investigating possible solutions, to help select one with an acceptable risk. Planning actions, in order to identify risks in the plan and hence identify countermeasures. far@ucalgary.ca 47

48 FMEA Questions Identification: How ( i.e., in what ways) can this element fail (failure modes)? Ramification: What will happen to the system and its environment if this element does fail in each of the ways available to it (failure effects)? Prevention: What needs to be done to prevent or mitigate the problem? far@ucalgary.ca 48

49 FMEA: How to /1 Interface matrix C t Reflects how components of the system are connected & function together Example: Range hood Comp ponents Components far@ucalgary.ca 49

50 FMEA: How to /2 50

51 FMEA Template Sample FMEA template N o Part Name Part tno. Function Failure Mode Mechanisms &C Causes of. Failure 1 Position Receive Loose Wear and Controller a cable tear demand connection Operator position Incorrect error demand signal Effect(s) Current P.R.A. Recommended of ffailure Control Corrective P S D R Action Motor fails to move Position controller breakdown in a long-run Replace faulty wire QC checked Intensive training for operators. Action Tk Taken P = Probabilities (chance) of occurrences S = Seriousness (impact) of failure D = Likelihood that the defect will reach the customer R = Risk priority measure (P x S x D) 1 = very low or none 2 = low or minor 3 = moderate or significant 4 = high 5 = very high or catastrophic far@ucalgary.ca 51

52 FMEA: When? FMEA cannot be done until design has proceeded to the point that system elements have been selected at the level the analysis is to explore in software system after software architecture is finalized (requirement volatility kills FMEA!) FMEA can be done anytime in the system lifetime, from initial design onward 52

53 FMEA: Usage Industries that frequently use FMEA: Consumer products: toys/home appliances/home electronics Automotive industry Aero/space: Boeing, NASA Df Defence id industry: DoDD Process industries, e.g., oil and gas, chemical plants industrial control systems Software industry? not popular p yet far@ucalgary.ca 53

54 FMEA: Summary Mthdf Method: from known or predicted dfailure modes of components, determine possible effects on system Good for hazard identification early in development, by considering possible failures of system functions: loss of function (omission failure) function performed incorrectly function performed when not required (commission failure) No good for concurrent multiple failures No good when requirements change 54

55 Fault Tree Analysis (FTA) Fault tree analysis is a graphical representation of the major faults or critical failures associated with a product, the causes for the faults, and potential countermeasures. FTA helps identify areas of concern for new system design or for improvement of existing systems. It also helps identify corrective actions to correct or mitigate problems. FTA can also be defined as a graphic model of the pathways within a system that can lead to a foreseeable, undesirable event. The pathways interconnect contributory events and conditions, using standard logic symbols. Fault tree analysis is useful both in designing new systems, products or services or in dealing with identified problems in existing products/services. As part of process improvement, it can be used to help identify root causes of trouble and to design remedies and countermeasures. far@ucalgary.ca 55

56 How to Use FTA? 1. Select a component for analysis. Draw a box at the top of the diagram and list the component inside. 2. Identify critical failures or faults related to the component. Using Failure Mode and Effect Analysis is a good way to identify faults during quality planning. For quality improvement, faults may be identified through Brainstorming or as the output of Cause and Effect Analysis. 3. Identify causes for each fault. List all applicable causes for faults in ovals below the fault. Connect the ovals to the appropriate fault box. 4. Work toward a root cause. Continue identifying causes for each fault until you reach a root or controllable cause. 5. Identify countermeasures for each root cause. Use Brainstorming or a modified version of Force Field Analysis to develop actions to counteract the root cause of each critical failure. Create boxes for each countermeasure, draw the boxes below the appropriate root cause, and link the counter measure and cause. far@ucalgary.ca 56

57 Steps in FTA FMEA (Failure Modes and Effects Analysis) dt determines the failure fil modes that are likely to cause failure events. Then it determines what single or multiple point failures could produce those top level events. FMEA asks the question, What can go wrong? even if the product meets specification. In order to perform FTA one first needs to perform FMEA. 57

58 FTA: Example 1 Tank overflow AND Inlet valve B Outlet valve closed Inlet valve fails Inlet open OR Wrong control to inlet valve OR Controller Sensor X Y Outlet valve A Controller fails Sensor X fails AND Sensor Y fails far@ucalgary.ca 58

59 FTA: Example 2 far@ucalgary.ca 59

60 FTA: Benefits & Limitations Benefits: Producing meaningful data for evaluation and improvement of the overall reliability of the system. Evaluating effectiveness of and need for redundancy. Limitation: Undesired event evaluated must be foreseen and all significant contributors to the failure must be anticipated. This effort may be very time consuming and expensive. Overall success of the process depends on the skill of the analyst involved. 60

61 FTA: Summary Mthd Method: trace faults stepwise back through hsystem design to possible causes atreewithatop a top event at the root logic gates at branches, linking each event with its immediate causes initiating faults at leaves (eventually) Good for tracing system hazards to component failures, and allocating safety requirements Good for systems with multiple failures Good dfor checking completeness of safety requirements Can be difficult, time-consuming, hard to maintain far@ucalgary.ca 61

62 62

B.H. Far

B.H. Far SENG 637 Dependability, Reliability & Testing of Software Systems Chapter 3: System Reliability Department of Electrical & Computer Engineering, University of Calgary B.H. Far (far@ucalgary.ca) http://www.enel.ucalgary.ca/people/far/lectures/seng637/

More information

Chapter 5. System Reliability and Reliability Prediction.

Chapter 5. System Reliability and Reliability Prediction. Chapter 5. System Reliability and Reliability Prediction. Problems & Solutions. Problem 1. Estimate the individual part failure rate given a base failure rate of 0.0333 failure/hour, a quality factor of

More information

ELE 491 Senior Design Project Proposal

ELE 491 Senior Design Project Proposal ELE 491 Senior Design Project Proposal These slides are loosely based on the book Design for Electrical and Computer Engineers by Ford and Coulston. I have used the sources referenced in the book freely

More information

Dependable Computer Systems

Dependable Computer Systems Dependable Computer Systems Part 3: Fault-Tolerance and Modelling Contents Reliability: Basic Mathematical Model Example Failure Rate Functions Probabilistic Structural-Based Modeling: Part 1 Maintenance

More information

Causal & Frequency Analysis

Causal & Frequency Analysis Causal & Frequency Analysis Arshad Ahmad arshad@utm.my Fishbone Diagram 2 The Cause and Effect (CE) Diagram (Ishikawa Fishbone) Created in 1943 by Professor Kaoru Ishikawa of Tokyo University Used to investigate

More information

Quantitative Reliability Analysis

Quantitative Reliability Analysis Quantitative Reliability Analysis Moosung Jae May 4, 2015 System Reliability Analysis System reliability analysis is conducted in terms of probabilities The probabilities of events can be modelled as logical

More information

Terminology and Concepts

Terminology and Concepts Terminology and Concepts Prof. Naga Kandasamy 1 Goals of Fault Tolerance Dependability is an umbrella term encompassing the concepts of reliability, availability, performability, safety, and testability.

More information

Chapter 6. a. Open Circuit. Only if both resistors fail open-circuit, i.e. they are in parallel.

Chapter 6. a. Open Circuit. Only if both resistors fail open-circuit, i.e. they are in parallel. Chapter 6 1. a. Section 6.1. b. Section 6.3, see also Section 6.2. c. Predictions based on most published sources of reliability data tend to underestimate the reliability that is achievable, given that

More information

Risk Analysis of Highly-integrated Systems

Risk Analysis of Highly-integrated Systems Risk Analysis of Highly-integrated Systems RA II: Methods (FTA, ETA) Fault Tree Analysis (FTA) Problem description It is not possible to analyse complicated, highly-reliable or novel systems as black box

More information

Chapter 15. System Reliability Concepts and Methods. William Q. Meeker and Luis A. Escobar Iowa State University and Louisiana State University

Chapter 15. System Reliability Concepts and Methods. William Q. Meeker and Luis A. Escobar Iowa State University and Louisiana State University Chapter 15 System Reliability Concepts and Methods William Q. Meeker and Luis A. Escobar Iowa State University and Louisiana State University Copyright 1998-2008 W. Q. Meeker and L. A. Escobar. Based on

More information

Key Words: Lifetime Data Analysis (LDA), Probability Density Function (PDF), Goodness of fit methods, Chi-square method.

Key Words: Lifetime Data Analysis (LDA), Probability Density Function (PDF), Goodness of fit methods, Chi-square method. Reliability prediction based on lifetime data analysis methodology: The pump case study Abstract: The business case aims to demonstrate the lifetime data analysis methodology application from the historical

More information

of an algorithm for automated cause-consequence diagram construction.

of an algorithm for automated cause-consequence diagram construction. Loughborough University Institutional Repository Development of an algorithm for automated cause-consequence diagram construction. This item was submitted to Loughborough University's Institutional Repository

More information

6.1 Dependability Modeling. General Rules. Analysis

6.1 Dependability Modeling. General Rules. Analysis Dependable Systems Winter term 2018/2019 Dependable Systems 6 th Chapter Quantitative Analysis - Structural Models Christine Jakobs Professur Betriebssysteme Dependability is an umbrella term for a set

More information

12 - The Tie Set Method

12 - The Tie Set Method 12 - The Tie Set Method Definitions: A tie set V is a set of components whose success results in system success, i.e. the presence of all components in any tie set connects the input to the output in the

More information

Quantitative evaluation of Dependability

Quantitative evaluation of Dependability Quantitative evaluation of Dependability 1 Quantitative evaluation of Dependability Faults are the cause of errors and failures. Does the arrival time of faults fit a probability distribution? If so, what

More information

Safety analysis and standards Analyse de sécurité et normes Sicherheitsanalyse und Normen

Safety analysis and standards Analyse de sécurité et normes Sicherheitsanalyse und Normen Industrial Automation Automation Industrielle Industrielle Automation 9.6 Safety analysis and standards Analyse de sécurité et normes Sicherheitsanalyse und Normen Prof Dr. Hubert Kirrmann & Dr. B. Eschermann

More information

UNIVERSITY OF MASSACHUSETTS Dept. of Electrical & Computer Engineering. Fault Tolerant Computing ECE 655

UNIVERSITY OF MASSACHUSETTS Dept. of Electrical & Computer Engineering. Fault Tolerant Computing ECE 655 UNIVERSITY OF MASSACHUSETTS Dept. of Electrical & Computer Engineering Fault Tolerant Computing ECE 655 Part 1 Introduction C. M. Krishna Fall 2006 ECE655/Krishna Part.1.1 Prerequisites Basic courses in

More information

Reliability and Availability Simulation. Krige Visser, Professor, University of Pretoria, South Africa

Reliability and Availability Simulation. Krige Visser, Professor, University of Pretoria, South Africa Reliability and Availability Simulation Krige Visser, Professor, University of Pretoria, South Africa Content BACKGROUND DEFINITIONS SINGLE COMPONENTS MULTI-COMPONENT SYSTEMS AVAILABILITY SIMULATION CONCLUSION

More information

Lecture 5 Probability

Lecture 5 Probability Lecture 5 Probability Dr. V.G. Snell Nuclear Reactor Safety Course McMaster University vgs 1 Probability Basic Ideas P(A)/probability of event A 'lim n64 ( x n ) (1) (Axiom #1) 0 # P(A) #1 (1) (Axiom #2):

More information

Reliability Engineering I

Reliability Engineering I Happiness is taking the reliability final exam. Reliability Engineering I ENM/MSC 565 Review for the Final Exam Vital Statistics What R&M concepts covered in the course When Monday April 29 from 4:30 6:00

More information

Part 3: Fault-tolerance and Modeling

Part 3: Fault-tolerance and Modeling Part 3: Fault-tolerance and Modeling Course: Dependable Computer Systems 2012, Stefan Poledna, All rights reserved part 3, page 1 Goals of fault-tolerance modeling Design phase Designing and implementing

More information

SAFETY GUIDED DESIGN OF CREW RETURN VEHICLE IN CONCEPT DESIGN PHASE USING STAMP/STPA

SAFETY GUIDED DESIGN OF CREW RETURN VEHICLE IN CONCEPT DESIGN PHASE USING STAMP/STPA SAFETY GUIDED DESIGN OF CREW RETURN VEHICLE IN CONCEPT DESIGN PHASE USING STAMP/STPA Haruka Nakao (1), Masa Katahira (2), Yuko Miyamoto (2), Nancy Leveson (3), (1) Japan Manned Space Systems Corporation,

More information

Field data reliability analysis of highly reliable item

Field data reliability analysis of highly reliable item Field data reliability analysis of highly reliable item David Vališ & Zdeněk Vintr Faculty of Military Technologies University of Defence 612 00 Brno Czech Republic david.valis@unob.cz Miroslav Koucký

More information

Common Cause Failure (CCF)

Common Cause Failure (CCF) Common Cause Failure (CCF) 건국대학교컴퓨터공학과 UC Lab. 정혁준 & 박경식 amitajung@naver.com, kyeongsik@konkuk.ac.kr Contents Common Cause Failure (CCF) Types of CCF Examples Reducing CCF Common Cause Failure (CCF) Definition

More information

Fault Tolerance. Dealing with Faults

Fault Tolerance. Dealing with Faults Fault Tolerance Real-time computing systems must be fault-tolerant: they must be able to continue operating despite the failure of a limited subset of their hardware or software. They must also allow graceful

More information

ISM Evolution. Elscolab. Nederland BV

ISM Evolution. Elscolab. Nederland BV ISM Evolution Agenda Introduction Marketing Strategy ISM Concept & Technology Product Offering Applications Digital Communication and ISM Outlook 1 Agenda Introduction Marketing Strategy ISM Concept &

More information

Dependable Systems. ! Dependability Attributes. Dr. Peter Tröger. Sources:

Dependable Systems. ! Dependability Attributes. Dr. Peter Tröger. Sources: Dependable Systems! Dependability Attributes Dr. Peter Tröger! Sources:! J.C. Laprie. Dependability: Basic Concepts and Terminology Eusgeld, Irene et al.: Dependability Metrics. 4909. Springer Publishing,

More information

Module No. # 03 Lecture No. # 11 Probabilistic risk analysis

Module No. # 03 Lecture No. # 11 Probabilistic risk analysis Health, Safety and Environmental Management in Petroleum and offshore Engineering Prof. Dr. Srinivasan Chandrasekaran Department of Ocean Engineering Indian Institute of Technology, Madras Module No. #

More information

Cyber Physical Power Systems Power in Communications

Cyber Physical Power Systems Power in Communications 1 Cyber Physical Power Systems Power in Communications Information and Communications Tech. Power Supply 2 ICT systems represent a noticeable (about 5 % of total t demand d in U.S.) fast increasing load.

More information

Safety and Reliability of Embedded Systems. (Sicherheit und Zuverlässigkeit eingebetteter Systeme) Fault Tree Analysis Obscurities and Open Issues

Safety and Reliability of Embedded Systems. (Sicherheit und Zuverlässigkeit eingebetteter Systeme) Fault Tree Analysis Obscurities and Open Issues (Sicherheit und Zuverlässigkeit eingebetteter Systeme) Fault Tree Analysis Obscurities and Open Issues Content What are Events? Examples for Problematic Event Semantics Inhibit, Enabler / Conditioning

More information

R E A D : E S S E N T I A L S C R U M : A P R A C T I C A L G U I D E T O T H E M O S T P O P U L A R A G I L E P R O C E S S. C H.

R E A D : E S S E N T I A L S C R U M : A P R A C T I C A L G U I D E T O T H E M O S T P O P U L A R A G I L E P R O C E S S. C H. R E A D : E S S E N T I A L S C R U M : A P R A C T I C A L G U I D E T O T H E M O S T P O P U L A R A G I L E P R O C E S S. C H. 5 S O F T W A R E E N G I N E E R I N G B Y S O M M E R V I L L E S E

More information

Failures in Process Industries

Failures in Process Industries Fault Tree Analysis Failures in Process Industries Single Component Failure Data for failure rates are compiled by industry Single component or single action Multiple Component Failure Failures resulting

More information

Signal Handling & Processing

Signal Handling & Processing Signal Handling & Processing The output signal of the primary transducer may be too small to drive indicating, recording or control elements directly. Or it may be in a form which is not convenient for

More information

Why fault tolerant system?

Why fault tolerant system? Why fault tolerant system? Non Fault-Tolerant System Component 1 Component 2 Component N The reliability block diagram of a series systemeach element of the system must operate correctly for the system

More information

Fault-Tolerant Computing

Fault-Tolerant Computing Fault-Tolerant Computing Motivation, Background, and Tools Slide 1 About This Presentation This presentation has been prepared for the graduate course ECE 257A (Fault-Tolerant Computing) by Behrooz Parhami,

More information

Quantitative evaluation of Dependability

Quantitative evaluation of Dependability Quantitative evaluation of Dependability 1 Quantitative evaluation of Dependability Faults are the cause of errors and failures. Does the arrival time of faults fit a probability distribution? If so, what

More information

Fault Tree Analysis and Reliability Assessment of Auxiliary Power Supply system for an HVDC Plant

Fault Tree Analysis and Reliability Assessment of Auxiliary Power Supply system for an HVDC Plant Fault Tree Analysis and Reliability Assessment of Auxiliary Power Supply system for an HVDC Plant Lu Yu March 2007 Master Thesis written at KTH, the Royal Institute of Technology, 2007, School of Electrical

More information

The Applications of Inductive Method in the Construction of Fault Trees MENG Qinghe 1,a, SUN Qin 2,b

The Applications of Inductive Method in the Construction of Fault Trees MENG Qinghe 1,a, SUN Qin 2,b The Applications of Inductive Method in the Construction of Fault Trees MENG Qinghe 1,a, SUN Qin 2,b 1 School of Aeronautics, Northwestern Polytechnical University, Xi an 710072, China 2 School of Aeronautics,

More information

Reliability, Redundancy, and Resiliency

Reliability, Redundancy, and Resiliency Lecture #11 October 3, 2017 Review of probability theory Component reliability Confidence Redundancy Reliability diagrams Intercorrelated Failures System resiliency Resiliency in fixed fleets 1 2017 David

More information

Reliability of sequential systems using the causeconsequence diagram method

Reliability of sequential systems using the causeconsequence diagram method Loughborough University Institutional Repository Reliability of sequential systems using the causeconsequence diagram method This item was submitted to Loughborough University's Institutional Repository

More information

B.H. Far

B.H. Far SENG 521 Software Reliability & Software Quality Chapter 6: Software Reliability Models Department of Electrical & Computer Engineering, University of Calgary B.H. Far (far@ucalgary.ca) http://www.enel.ucalgary.ca/people/far/lectures/seng521

More information

Maintenance free operating period an alternative measure to MTBF and failure rate for specifying reliability?

Maintenance free operating period an alternative measure to MTBF and failure rate for specifying reliability? Reliability Engineering and System Safety 64 (1999) 127 131 Technical note Maintenance free operating period an alternative measure to MTBF and failure rate for specifying reliability? U. Dinesh Kumar

More information

Dependability Analysis

Dependability Analysis Software and Systems Verification (VIMIMA01) Dependability Analysis Istvan Majzik Budapest University of Technology and Economics Fault Tolerant Systems Research Group Budapest University of Technology

More information

A new FMECA model for reliability computations in electrical distribution systems

A new FMECA model for reliability computations in electrical distribution systems Proceedings of the 6th WSEAS/IASME Int. Conf. on Electric Power Systems, High Voltages, Electric Machines, Tenerife, Spain, December 6-8, 2006 A new FMECA model for reliability computations in electrical

More information

Chapter 5 Reliability of Systems

Chapter 5 Reliability of Systems Chapter 5 Reliability of Systems Hey! Can you tell us how to analyze complex systems? Serial Configuration Parallel Configuration Combined Series-Parallel C. Ebeling, Intro to Reliability & Maintainability

More information

Reliability Analysis of Electronic Systems using Markov Models

Reliability Analysis of Electronic Systems using Markov Models Reliability Analysis of Electronic Systems using Markov Models István Matijevics Polytechnical Engineering College, Subotica, Serbia and Montenegro, matistvan@yahoo.com Zoltán Jeges Polytechnical Engineering

More information

Reliable Computing I

Reliable Computing I Instructor: Mehdi Tahoori Reliable Computing I Lecture 5: Reliability Evaluation INSTITUTE OF COMPUTER ENGINEERING (ITEC) CHAIR FOR DEPENDABLE NANO COMPUTING (CDNC) National Research Center of the Helmholtz

More information

Assessing system reliability through binary decision diagrams using bayesian techniques.

Assessing system reliability through binary decision diagrams using bayesian techniques. Loughborough University Institutional Repository Assessing system reliability through binary decision diagrams using bayesian techniques. This item was submitted to Loughborough University's Institutional

More information

RELIABILITY ANALYSIS OF PISTON MANUFACTURING SYSTEM

RELIABILITY ANALYSIS OF PISTON MANUFACTURING SYSTEM Journal of Reliability and Statistical Studies; ISSN (Print): 0974-8024, (Online):2229-5666 Vol. 4, Issue 2 (2011): 43-55 RELIABILITY ANALYSIS OF PISTON MANUFACTURING SYSTEM Amit Kumar and Sneh Lata School

More information

Combinational Techniques for Reliability Modeling

Combinational Techniques for Reliability Modeling Combinational Techniques for Reliability Modeling Prof. Naga Kandasamy, ECE Department Drexel University, Philadelphia, PA 19104. January 24, 2009 The following material is derived from these text books.

More information

Tradeoff between Reliability and Power Management

Tradeoff between Reliability and Power Management Tradeoff between Reliability and Power Management 9/1/2005 FORGE Lee, Kyoungwoo Contents 1. Overview of relationship between reliability and power management 2. Dakai Zhu, Rami Melhem and Daniel Moss e,

More information

Mean fault time for estimation of average probability of failure on demand.

Mean fault time for estimation of average probability of failure on demand. Mean fault time for estimation of average probability of failure on demand. Isshi KOYATA a *, Koichi SUYAMA b, and Yoshinobu SATO c a The University of Marine Science and Technology Doctoral Course, Course

More information

Reliability, Redundancy, and Resiliency

Reliability, Redundancy, and Resiliency Review of probability theory Component reliability Confidence Redundancy Reliability diagrams Intercorrelated failures System resiliency Resiliency in fixed fleets Perspective on the term project 1 2010

More information

Evaluation and Validation

Evaluation and Validation Evaluation and Validation Peter Marwedel TU Dortmund, Informatik 12 Germany Graphics: Alexandra Nolte, Gesine Marwedel, 2003 2011 06 18 These slides use Microsoft clip arts. Microsoft copyright restrictions

More information

A New Reliability Allocation Method Based on FTA and AHP for Nuclear Power Plant!

A New Reliability Allocation Method Based on FTA and AHP for Nuclear Power Plant! A New Reliability Allocation Method Based on FTA and AHP for Nuclear Power Plant! Presented by Rongxiang Hu Contributed by FDS Team Institute of Nuclear Energy Safety Technology (INEST) Chinese Academy

More information

Safety and Reliability of Embedded Systems

Safety and Reliability of Embedded Systems (Sicherheit und Zuverlässigkeit eingebetteter Systeme) Fault Tree Analysis Mathematical Background and Algorithms Prof. Dr. Liggesmeyer, 0 Content Definitions of Terms Introduction to Combinatorics General

More information

Constant speed drive time between overhaul extension: a case study from Italian Air Force Fleet.

Constant speed drive time between overhaul extension: a case study from Italian Air Force Fleet. Constant speed drive time between overhaul extension: a case study from Italian Air Force Fleet. Capt. M. Amura¹, Capt. F. De Trane², Maj. L. Aiello¹ Italian Air Force Centro Sperimentale Volo - Airport

More information

Failure rate in the continuous sense. Figure. Exponential failure density functions [f(t)] 1

Failure rate in the continuous sense. Figure. Exponential failure density functions [f(t)] 1 Failure rate (Updated and Adapted from Notes by Dr. A.K. Nema) Part 1: Failure rate is the frequency with which an engineered system or component fails, expressed for example in failures per hour. It is

More information

A BAYESIAN SOLUTION TO INCOMPLETENESS

A BAYESIAN SOLUTION TO INCOMPLETENESS A BAYESIAN SOLUTION TO INCOMPLETENESS IN PROBABILISTIC RISK ASSESSMENT 14th International Probabilistic Safety Assessment & Management Conference PSAM-14 September 17-21, 2018 Los Angeles, United States

More information

Fail-Safe Testing of Safety-Critical Systems

Fail-Safe Testing of Safety-Critical Systems University of Denver Digital Commons @ DU Electronic Theses and Dissertations Graduate Studies 1-1-2014 Fail-Safe Testing of Safety-Critical Systems Ahmed Gario University of Denver Follow this and additional

More information

Maintenance/ Discontinued

Maintenance/ Discontinued ICs for Compact Disc/CD-ROM Player AN8783SB 4-channel linear driver IC for CD/CD-ROM drive Overview The AN8783SB employs one channel of power op-amp. system and three channels of H-bridge system. Two channels

More information

Reliability and Availability Analysis of Uncaser System in A Brewary Plant

Reliability and Availability Analysis of Uncaser System in A Brewary Plant IJRMET Vo l. 2, Is s u e 2, Ma y - Oc t 2012 ISSN : 2249-5762 (Online ISSN : 2249-5770 (Print Reliability and Availability Analysis of Uncaser System in A Brewary Plant 1 Sunil Kadiyan, 2 Dr. R. K. Garg,

More information

EECS 579: Logic and Fault Simulation. Simulation

EECS 579: Logic and Fault Simulation. Simulation EECS 579: Logic and Fault Simulation Simulation: Use of computer software models to verify correctness Fault Simulation: Use of simulation for fault analysis and ATPG Circuit description Input data for

More information

EARLY DEPLOYMENT DATA RETRIEVAL 10-6 ESTIMATES Maximum Likelihood 6-1 Point 6-1

EARLY DEPLOYMENT DATA RETRIEVAL 10-6 ESTIMATES Maximum Likelihood 6-1 Point 6-1 INDEX ACCEPTANCE CRITERIA 8-4, 8-10 AGE DEPENDENT ANALYSIS (Fixed Configuration) 7-1, 10-3 Supporting Data Base 10-3, 10-10 AUTOMATIC TEST EQUIPMENT (ATE)(see Diagnostic Systems, Automatic) AVAILABILITY

More information

9. Reliability theory

9. Reliability theory Material based on original slides by Tuomas Tirronen ELEC-C720 Modeling and analysis of communication networks Contents Introduction Structural system models Reliability of structures of independent repairable

More information

Chapter 12. Spurious Operation and Spurious Trips

Chapter 12. Spurious Operation and Spurious Trips Chapter 12. Spurious Operation and Spurious Trips Mary Ann Lundteigen Marvin Rausand RAMS Group Department of Mechanical and Industrial Engineering NTNU (Version 0.1) Lundteigen& Rausand Chapter 12.Spurious

More information

Data Sheet. Functional Safety Characteristic Safety Values for BE.. Brakes * _0715*

Data Sheet. Functional Safety Characteristic Safety Values for BE.. Brakes * _0715* Drive Technology \ Drive Automation \ System Integration \ Services *22291814_0715* Data Sheet Functional Safety Characteristic Safety Values for BE.. Brakes Edition 07/2015 22291814/EN SEW-EURODRIVE Driving

More information

SUPPLEMENT TO CHAPTER

SUPPLEMENT TO CHAPTER SUPPLEMENT TO CHAPTER 4 Reliability SUPPLEMENT OUTLINE Introduction, 2 Finding Probability of Functioning When Activated, 2 Finding Probability of Functioning for a Given Length of Time, 4 Key Terms, 10

More information

Safety Analysis Using Petri Nets

Safety Analysis Using Petri Nets Safety Analysis Using Petri Nets IEEE Transactions on Software Engineering (1987) Nancy G. Leveson and Janice L. Stolzy Park, Ji Hun 2010.06.21 Introduction Background Petri net Time petri net Contents

More information

SIMATIC Ident Industrial Identification Systems

SIMATIC Ident Industrial Identification Systems Related catalogs SIMATIC Ident Industrial Identification Systems Catalog ID 10 2012 Introduction System overview SIMATIC Ident 1 RFID systems for the HF frequency range SIMATIC RF200 SIMATIC RF300 MOBY

More information

Concept of Reliability

Concept of Reliability Concept of Reliability Prepared By Dr. M. S. Memon Department of Industrial Engineering and Management Mehran University of Engineering and Technology Jamshoro, Sindh, Pakistan RELIABILITY Reliability

More information

System Reliability Analysis. CS6323 Networks and Systems

System Reliability Analysis. CS6323 Networks and Systems System Reliability Analysis CS6323 Networks and Systems Topics Combinatorial Models for reliability Topology-based (structured) methods for Series Systems Parallel Systems Reliability analysis for arbitrary

More information

SEQUENCING RELIABILITY GROWTH TASKS USING MULTIATTRIBUTE UTILITY FUNCTIONS

SEQUENCING RELIABILITY GROWTH TASKS USING MULTIATTRIBUTE UTILITY FUNCTIONS SEQUENCING RELIABILITY GROWTH TASKS USING MULTIATTRIBUTE UTILITY FUNCTIONS KEVIN J WILSON, JOHN QUIGLEY Department of Management Science University of Strathclyde, UK In both hardware and software engineering,

More information

Time-varying failure rate for system reliability analysis in large-scale railway risk assessment simulation

Time-varying failure rate for system reliability analysis in large-scale railway risk assessment simulation Time-varying failure rate for system reliability analysis in large-scale railway risk assessment simulation H. Zhang, E. Cutright & T. Giras Center of Rail Safety-Critical Excellence, University of Virginia,

More information

Reliability of fluid systems

Reliability of fluid systems EPJ Web of Conferences 114, 02057 (2016) DOI: 10.1051/ epjconf/ 2016114 02057 C Owned by the authors, published by EDP Sciences, 2016 Reliability of fluid systems Jaroslav Kopáek 1, Kamil Fojtášek 1,a

More information

Joint work with Marie-Aude Esteve, Joost-Pieter Katoen, Bart Postma and Yuri Yushtein.

Joint work with Marie-Aude Esteve, Joost-Pieter Katoen, Bart Postma and Yuri Yushtein. SATELLITE PLATFORM CASE STUDY WITH SLIM AND COMPASS Viet Yen Nguyen Joint work with Marie-Aude Esteve, Joost-Pieter Katoen, Bart Postma and Yuri Yushtein. OUR CASE: SATELLITE PLATFORM Note: shown satellite

More information

Chapter 18 Section 8.5 Fault Trees Analysis (FTA) Don t get caught out on a limb of your fault tree.

Chapter 18 Section 8.5 Fault Trees Analysis (FTA) Don t get caught out on a limb of your fault tree. Chapter 18 Section 8.5 Fault Trees Analysis (FTA) Don t get caught out on a limb of your fault tree. C. Ebeling, Intro to Reliability & Maintainability Engineering, 2 nd ed. Waveland Press, Inc. Copyright

More information

MONTE CARLO SIMULATION TO ASSESS PERFORMANCE VARIABILITY IN THE FRAM

MONTE CARLO SIMULATION TO ASSESS PERFORMANCE VARIABILITY IN THE FRAM MONTE CARLO SIMULATION TO ASSESS PERFORMANCE VARIABILITY IN THE FRAM Riccardo Patriarca, Giulio Di Gravio, Francesco Costantino Sapienza University of Rome Department of Mechanical and Aerospace Engineering

More information

FROM WATER LEAKS TO WINE GRAPES: A NEW OUTLOOK FOR IMAGERY ANALYSIS

FROM WATER LEAKS TO WINE GRAPES: A NEW OUTLOOK FOR IMAGERY ANALYSIS Place image here (10 x 3.5 ) FROM WATER LEAKS TO WINE GRAPES: A NEW OUTLOOK FOR IMAGERY ANALYSIS ENVI AS A FRAMEWORK FOR CLOUD SERVICES & DEEP LEARNING Presented By Gordon Sumerling on Behalf of Cherie

More information

Application of the Cause-Consequence Diagram Method to Static Systems

Application of the Cause-Consequence Diagram Method to Static Systems Application of the ause-onsequence Diagram Method to Static Systems L.M.Ridley and J.D.Andrews Department of Mathematical Sciences Loughborough University Loughborough Leicestershire LE11 3TU Keywords:

More information

Basics of Uncertainty Analysis

Basics of Uncertainty Analysis Basics of Uncertainty Analysis Chapter Six Basics of Uncertainty Analysis 6.1 Introduction As shown in Fig. 6.1, analysis models are used to predict the performances or behaviors of a product under design.

More information

Fault-Tolerant Computer System Design ECE 60872/CS 590. Topic 2: Discrete Distributions

Fault-Tolerant Computer System Design ECE 60872/CS 590. Topic 2: Discrete Distributions Fault-Tolerant Computer System Design ECE 60872/CS 590 Topic 2: Discrete Distributions Saurabh Bagchi ECE/CS Purdue University Outline Basic probability Conditional probability Independence of events Series-parallel

More information

Single Stuck-At Fault Model Other Fault Models Redundancy and Untestable Faults Fault Equivalence and Fault Dominance Method of Boolean Difference

Single Stuck-At Fault Model Other Fault Models Redundancy and Untestable Faults Fault Equivalence and Fault Dominance Method of Boolean Difference Single Stuck-At Fault Model Other Fault Models Redundancy and Untestable Faults Fault Equivalence and Fault Dominance Method of Boolean Difference Copyright 1998 Elizabeth M. Rudnick 1 Modeling the effects

More information

GEOGRAPHIC INFORMATION SYSTEM ANALYST I GEOGRAPHIC INFORMATION SYSTEM ANALYST II

GEOGRAPHIC INFORMATION SYSTEM ANALYST I GEOGRAPHIC INFORMATION SYSTEM ANALYST II CITY OF ROSEVILLE GEOGRAPHIC INFORMATION SYSTEM ANALYST I GEOGRAPHIC INFORMATION SYSTEM ANALYST II DEFINITION To perform professional level work in Geographic Information Systems (GIS) management and analysis;

More information

Non-observable failure progression

Non-observable failure progression Non-observable failure progression 1 Age based maintenance policies We consider a situation where we are not able to observe failure progression, or where it is impractical to observe failure progression:

More information

Reliability of Safety-Critical Systems 5.1 Reliability Quantification with RBDs

Reliability of Safety-Critical Systems 5.1 Reliability Quantification with RBDs Reliability of Safety-Critical Systems 5.1 Reliability Quantification with RBDs Mary Ann Lundteigen and Marvin Rausand mary.a.lundteigen@ntnu.no &marvin.rausand@ntnu.no RAMS Group Department of Production

More information

Evaluating the Core Damage Frequency of a TRIGA Research Reactor Using Risk Assessment Tool Software

Evaluating the Core Damage Frequency of a TRIGA Research Reactor Using Risk Assessment Tool Software Evaluating the Core Damage Frequency of a TRIGA Research Reactor Using Risk Assessment Tool Software M. Nematollahi and Sh. Kamyab Abstract After all preventive and mitigative measures considered in the

More information

RELIABILITY ANALYSIS OF E S R C 1400 BUCKET WHEEL EXCAVATORS OPERATING IN OLTENIA LIGNITE OPEN PIT MINES

RELIABILITY ANALYSIS OF E S R C 1400 BUCKET WHEEL EXCAVATORS OPERATING IN OLTENIA LIGNITE OPEN PIT MINES RELIABILITY ANALYSIS OF E S R C 1400 BUCKET WHEEL EXCAVATORS OPERATING IN OLTENIA LIGNITE OPEN PIT MINES Dumitru Jula 1, Stela Dinescu 2, Ovidiu-Bogdan Tomus 3 1 Ph.D., Assoc. Professor, 2 Ph.D., Lecturer,

More information

Fault Modeling. 李昆忠 Kuen-Jong Lee. Dept. of Electrical Engineering National Cheng-Kung University Tainan, Taiwan. VLSI Testing Class

Fault Modeling. 李昆忠 Kuen-Jong Lee. Dept. of Electrical Engineering National Cheng-Kung University Tainan, Taiwan. VLSI Testing Class Fault Modeling 李昆忠 Kuen-Jong Lee Dept. of Electrical Engineering National Cheng-Kung University Tainan, Taiwan Class Fault Modeling Some Definitions Why Modeling Faults Various Fault Models Fault Detection

More information

FAULT DETECTION AND FAULT TOLERANT APPROACHES WITH AIRCRAFT APPLICATION. Andrés Marcos

FAULT DETECTION AND FAULT TOLERANT APPROACHES WITH AIRCRAFT APPLICATION. Andrés Marcos FAULT DETECTION AND FAULT TOLERANT APPROACHES WITH AIRCRAFT APPLICATION 2003 Louisiana Workshop on System Safety Andrés Marcos Dept. Aerospace Engineering and Mechanics, University of Minnesota 28 Feb,

More information

Practical Applications of Reliability Theory

Practical Applications of Reliability Theory Practical Applications of Reliability Theory George Dodson Spallation Neutron Source Managed by UT-Battelle Topics Reliability Terms and Definitions Reliability Modeling as a tool for evaluating system

More information

Reliability of Spacecraft. Power Systems

Reliability of Spacecraft. Power Systems Reliability of Spacecraft Template reference : 100181670S-EN Power Systems Fabrice WALLECAN (March 2011) Thales Alenia Space ETCA Agenda Part 1: Introduction 1. The space environment 2. Overview of Spacecraft

More information

ER2 Short-head Electric Chain Hoist

ER2 Short-head Electric Chain Hoist O/M NO.SHER2-0903-CE-00 ER2 Short-head Electric Chain Hoist (250kg to 5t) Operation Manual (SHER2M/SHER2SG/SHER2SP) Introduction The KITO Short-head Electric Chain Hoist is intended for effective use in

More information

CHAPTER 10 RELIABILITY

CHAPTER 10 RELIABILITY CHAPTER 10 RELIABILITY Failure rates Reliability Constant failure rate and exponential distribution System Reliability Components in series Components in parallel Combination system 1 Failure Rate Curve

More information

SIMULATION OF FTA IN SIMULINK. Alexej Chovanec

SIMULATION OF FTA IN SIMULINK. Alexej Chovanec J. ucha,. Chovanec SIMYLTION OF FT IN SIMULINK R&RT # 4 SIMULTION OF FT IN SIMULINK lexej Chovanec Faculty of Special Technology / lexander Dubcek University in Trencin Studentska 1, 911 5 Trencin, Slovak

More information

Evaluating Safety Integrity Level in presence of uncertainty

Evaluating Safety Integrity Level in presence of uncertainty See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/224880564 Evaluating Safety Integrity Level in presence of uncertainty Conference Paper June

More information

Development of Multi-Unit Dependency Evaluation Model Using Markov Process and Monte Carlo Method

Development of Multi-Unit Dependency Evaluation Model Using Markov Process and Monte Carlo Method Development of Multi-Unit Dependency Evaluation Model Using Markov Process and Monte Carlo Method Sunghyon Jang, and Akira Yamaguchi Department of Nuclear Engineering and Management, The University of

More information

Department of Electrical and Computer Engineering University of Wisconsin Madison. Fall Midterm Examination CLOSED BOOK

Department of Electrical and Computer Engineering University of Wisconsin Madison. Fall Midterm Examination CLOSED BOOK Department of Electrical and Computer Engineering University of Wisconsin Madison ECE 553: Testing and Testable Design of Digital Systems Fall 203-204 Midterm Examination CLOSED OOK Kewal K. Saluja Date:

More information

PUB NLH 185 Island Interconnected System Supply Issues and Power Outages Page 1 of 9

PUB NLH 185 Island Interconnected System Supply Issues and Power Outages Page 1 of 9 PUB NLH 1 Page 1 of 1 Q. Provide Hydro s list of outage cause codes and indicate how troublemen are managed and trained to properly use the codes. Explain the method used to report outage causes. A. Hydro

More information

Analysis methods for fault trees that contain secondary failures

Analysis methods for fault trees that contain secondary failures Loughborough University Institutional Repository Analysis methods for fault trees that contain secondary failures This item was submitted to Loughborough University's Institutional Repository by the/an

More information