STOCHASTIC BEHAVIOUR OF COMMUNICATION SUBSYSTEM OF COMMUNICATION SATELLITE

Similar documents
COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

Additional File 1 - Detailed explanation of the expression level CPD

ABSTRACT

APPLICATIONS OF RELIABILITY ANALYSIS TO POWER ELECTRONICS SYSTEMS

Specification -- Assumptions of the Simple Classical Linear Regression Model (CLRM) 1. Introduction

Harmonic oscillator approximation

The optimal delay of the second test is therefore approximately 210 hours earlier than =2.

The multivariate Gaussian probability density function for random vector X (X 1,,X ) T. diagonal term of, denoted

CS-433: Simulation and Modeling Modeling and Probability Review

A new Approach for Solving Linear Ordinary Differential Equations

On the SO 2 Problem in Thermal Power Plants. 2.Two-steps chemical absorption modeling

Confidence intervals for the difference and the ratio of Lognormal means with bounded parameters

Two-Layered Model of Blood Flow through Composite Stenosed Artery

Start Point and Trajectory Analysis for the Minimal Time System Design Algorithm

Chapter 6 The Effect of the GPS Systematic Errors on Deformation Parameters

Introduction to Interfacial Segregation. Xiaozhe Zhang 10/02/2015

Root Locus Techniques

CHAPTER X PHASE-CHANGE PROBLEMS

Small signal analysis

Electric and magnetic field sensor and integrator equations

Electrical Circuits II (ECE233b)

The Study of Teaching-learning-based Optimization Algorithm

Improvements on Waring s Problem

This appendix presents the derivations and proofs omitted from the main text.

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity

Information Acquisition in Global Games of Regime Change (Online Appendix)

Dynamic Programming. Lecture 13 (5/31/2017)

Modelli Clamfim Equazione del Calore Lezione ottobre 2014

Method Of Fundamental Solutions For Modeling Electromagnetic Wave Scattering Problems

Comparison of the Population Variance Estimators. of 2-Parameter Exponential Distribution Based on. Multiple Criteria Decision Making Method

System in Weibull Distribution

Distributed Control for the Parallel DC Linked Modular Shunt Active Power Filters under Distorted Utility Voltage Condition

MODELLING OF TRANSIENT HEAT TRANSPORT IN TWO-LAYERED CRYSTALLINE SOLID FILMS USING THE INTERVAL LATTICE BOLTZMANN METHOD

Resource Allocation with a Budget Constraint for Computing Independent Tasks in the Cloud

Queueing Networks II Network Performance

Chapter 11. Supplemental Text Material. The method of steepest ascent can be derived as follows. Suppose that we have fit a firstorder

MAE140 - Linear Circuits - Winter 16 Final, March 16, 2016

ENTROPY BOUNDS USING ARITHMETIC- GEOMETRIC-HARMONIC MEAN INEQUALITY. Guru Nanak Dev University Amritsar, , INDIA

Variable Structure Control ~ Basics

CHAPTER 9 LINEAR MOMENTUM, IMPULSE AND COLLISIONS

8 Waves in Uniform Magnetized Media

Lecture 3: Probability Distributions

Pulse Coded Modulation

Estimation of Finite Population Total under PPS Sampling in Presence of Extra Auxiliary Information

Polynomial Regression Models

Computer Control Systems

/ n ) are compared. The logic is: if the two

ELG3336: Op Amp-based Active Filters

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

MULTIPLE REGRESSION ANALYSIS For the Case of Two Regressors

Randomness and Computation

Chapter 13: Multiple Regression

Performance Analysis for a Network having Standby Redundant Unit with Waiting in Repair

Chapter 7 Channel Capacity and Coding

Scattering of two identical particles in the center-of. of-mass frame. (b)

Statistical Properties of the OLS Coefficient Estimators. 1. Introduction

DEADLOCK INDEX ANALYSIS OF MULTI-LEVEL QUEUE SCHEDULING IN OPERATING SYSTEM USING DATA MODEL APPROACH

Rao IIT Academy/ SSC - Board Exam 2018 / Mathematics Code-A / QP + Solutions JEE MEDICAL-UG BOARDS KVPY NTSE OLYMPIADS SSC - BOARD

EGR 544 Communication Theory

A Hybrid Variational Iteration Method for Blasius Equation

Chapter 11: Simple Linear Regression and Correlation

Copyright 2017 by Taylor Enterprises, Inc., All Rights Reserved. Adjusted Control Limits for P Charts. Dr. Wayne A. Taylor

6.3.4 Modified Euler s method of integration

6. Stochastic processes (2)

Two Approaches to Proving. Goldbach s Conjecture

Practice Problems - Week #7 Laplace - Step Functions, DE Solutions Solutions

6. Stochastic processes (2)

x = , so that calculated

Improvements on Waring s Problem

More metrics on cartesian products

Problem #1. Known: All required parameters. Schematic: Find: Depth of freezing as function of time. Strategy:

Chapter 7 Channel Capacity and Coding

Convexity preserving interpolation by splines of arbitrary degree

M. Mechee, 1,2 N. Senu, 3 F. Ismail, 3 B. Nikouravan, 4 and Z. Siri Introduction

Statistics for Managers Using Microsoft Excel/SPSS Chapter 13 The Simple Linear Regression Model and Correlation

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE

Problem Free Expansion of Ideal Gas

Markov chains. Definition of a CTMC: [2, page 381] is a continuous time, discrete value random process such that for an infinitesimal

is the calculated value of the dependent variable at point i. The best parameters have values that minimize the squares of the errors

A note on almost sure behavior of randomly weighted sums of φ-mixing random variables with φ-mixing weights

ISSN X Reliability of linear and circular consecutive-kout-of-n systems with shock model

Digital Signal Processing

Negative Binomial Regression

FUZZY FINITE ELEMENT METHOD

Profit analysis of a computer system with preventive maintenance and priority subject to maximum operation and repair times

Application of Queuing Theory to Waiting Time of Out-Patients in Hospitals.

RELIABILITY ASSESSMENT

Reliability Analysis of Embedded System with Different Modes of Failure Emphasizing Reboot Delay

Math 702 Midterm Exam Solutions

Fuzzy Reliability and Fuzzy Availability of the Serial Process in Butter-Oil Processing Plant

bounds compared to SB and SBB bounds as the former two have an index parameter, while the latter two

DEMO #8 - GAUSSIAN ELIMINATION USING MATHEMATICA. 1. Matrices in Mathematica

The Exact Formulation of the Inverse of the Tridiagonal Matrix for Solving the 1D Poisson Equation with the Finite Difference Method

CS 798: Homework Assignment 2 (Probability)

Delay Di erential Equations and Oscillations

Open Systems: Chemical Potential and Partial Molar Quantities Chemical Potential

Uncertainty in measurements of power and energy on power networks

Hongyi Miao, College of Science, Nanjing Forestry University, Nanjing ,China. (Received 20 June 2013, accepted 11 March 2014) I)ϕ (k)

A Novel Approach for Testing Stability of 1-D Recursive Digital Filters Based on Lagrange Multipliers

arxiv: v1 [cs.gt] 15 Jan 2019

Transcription:

IJS 4 () July Sharma & al ehavour of Subytem of ommuncaton Satellte SOHSI HVIOU O OMMUNIION SUSYSM O OMMUNIION SLLI SK Mttal eepankar Sharma & Neelam Sharma 3 S he author n th paper have dcued the tochatc behavor of communcaton atellte for evaluaton of ome mportant relablty parameter One Standby control unt ha been taken to mprove ytem performance h Standby unt can take place through a perfect wtchng devce Supplementary varable technque ha been ued to convert a Non-Markovan proce n to Markovan one Steady-State behavor of the ytem ha obtaned ll the tranton State probablte n cae repar follow exponental tme dtrbuton have alo computed to mprove practcal utlty of the model Keyword: Supplementary varable erfect Swtchng Standby redundancy valablty and cot functon INOUION he heart of a atellte the communcaton ubytem It cont of multple tranponder whch a explaned earler receve and amplfy up-lnk gnal tranlate them n frequency and amplfy agan for retranmon a down-lnk gnal In the ngle converon tranponder (fg) only ngle frequency tranlaton proce take place from the receved gnal to the tranmtted gnal he author dvded the ytem nto fve ubytem namely (ntenna) (ecever) t (frequency tranlator) (tranmtter) and (two control unt n tandby) Laplace tranform and upplementary varable technque have been ued to olve and formulate of mathematcal model ll falure follow exponental tme dtrbuton where a all repar follow general tme dtrbuton Laplace tranform of varou tate probablte have been obtaned numercal example together wth t graphcal llutraton ha appended n lat to hghlght mportant reult of th tudy SSUMIONS he followng aumpton have been aocated wth th model: Intally the ytem work wth t full effcency epar faclte are alway avalable and after repar unt work lke new one 3 Swtchng devce ued to onlne tandby control unt perfect 4 alure are tattcally ndependent Nothng can fal from a faled tate 5 ll the falure and repar follow exponental and general tme dtrbuton repectvely ommuncaton Subytem ecver requency ranlator ranponder ranmtter ntenna Subytem erfect Swtchng evce ommuncaton ntenna ontrol unt g-: General block dagram of a atellte 8

IJS 4 () July Sharma & al ehavour of Subytem of ommuncaton Satellte (x) (m) ( y (y) ( x ( m (x) ( ) ( ) t ( x t (y) c ( y (z) (r) (z) (r) ( z ( r (x) ( r ( z ( n g-: State-ranton agram State: Good aled NOMNLU ollowng notaton have been ued throughout th tudy: ( ) : he probablty that at tme t the ytem n good tate of full effcency t ( j : he probablty that at tme t the ytem n faled tate due to falure of th ubytem and elaped repar tme le n the nterval j j where and j xy zrm xy zrn repectvely ( j) : he frt order probablty that th ubytem wll be repared n the tme nterval j j condtoned that t wa not repared up to the tme j 83

IJS 4 () July Sharma & al ehavour of Subytem of ommuncaton Satellte / / / / : alure rate of ntenna recever frequency tranlator tranmtter and whole / ytem due to envronmental reaon : alure rate of control unt I and II : Laplace tranform of functon ( M : t d d S = mean tme to repar S : jexp ( j) dj for j μ th unt 3 OMULION O MHMIL MOL: Ung contnuty argument we obtan the followng et of dfference-dfferental equaton whch are dcrete n pace and contnuou n tme governng the behavour of the model under conderaton: t t x x t dx y y t dy z z tdz r r tdr m m t n n t dn t t t t t x y z r m dm x x t y y t z z t r r t m m t () () (3) (4) (5) (6) 84

IJS 4 () July Sharma & al ehavour of Subytem of ommuncaton Satellte t n n n t (7) t t x x t dx y y t dy z z t r r tdr t t x t y t z t r x x t y y t z z t oundary condton are: t t t t t t t t r r t (8) (9) () () () (3) (4) (5) (6) t t t (7) t t t t t t t t t t (8) (9) () () () 85

IJS 4 () July Sharma & al ehavour of Subytem of ommuncaton Satellte Intal condton: and all other tate probablte at t are zero (3) 4 SOLUION O H MOL: akng Laplace tranform of equaton () through () by makng ue of ntal condton (3) and then on olvng them one by one we obtan the followng Laplace tranform of dfferent tate probablte: (4) m (5) (6) (7) (8) (9) (3) (3) (3) (33) (34) 86

IJS 4 () July Sharma & al ehavour of Subytem of ommuncaton Satellte (35) where S S S S (36) S S S S S S S (37) and j S j j for all and j (38) 5 GOI HVIOU O H SYSM: y makng ue of bel Lemma Vz lm lm t ay o t have the followng tme- ndependent tate probablte from equaton (4) through (35): provded the lmt on rght ext we (39) M (4) M (4) M (4) M (43) (ay) (44) M (45) 87

IJS 4 () July Sharma & al ehavour of Subytem of ommuncaton Satellte M M M M M where (46) (47) (48) (49) (5) (5) M S for all (5) d d (53) 6 SOM IUL SS: (a) when repar follow exponental tme dtrbuton Settng S j for all and j n equaton (4) through (35) one may obtan the followng tranton tate j probablte n th cae: (54) (55) (56) 88

IJS 4 () July Sharma & al ehavour of Subytem of ommuncaton Satellte 89 (57) (58) (59) (6) (6) (6) (63) (64) where (65) (66) and (67)

IJS 4 () July Sharma & al ehavour of Subytem of ommuncaton Satellte (b) valablty and proft functon for the ytem: We have up or up a b where a b On takng nvere Laplace tranform we obtan up t at at e e a b e a b bt (68) It nteretng to note that up lo t t down (69) gan the proft functon for the ytem gven by up t upt dt t 3 G t Where revenue cot per unt tme repar cot per unt tme and 3 ytem etablhment cot for one perod o here e a a b t 3 G t at e b bt a b (7) where a and b have mentoned earler (c) Numercal omputaton or a numercal computaton let u conder the data 3 4 5 6 7 5/ unt tme / unt tme 3 5 / etup and t=------ -- y puttng thee value n equaton (68) (69) and (7) we plot varou graph hown n fgure (3) (4) and (5) 9

up( --------> IJS 4 () July Sharma & al ehavour of Subytem of ommuncaton Satellte to oberve the change n value of avalablty and proft functon able and 3 how the value of t t up down and G( repectvely 7 SULS N ISUSSION ll the tranton tate probablte n cae repar follow exponental tme dtrbuton have been computed to mprove practcal utlty of the model Steady-tate behavour of the ytem ha alo been obtaned One numercal computaton wth t graphcal llutraton ha mentoned n the end to hghlght mportant reult of tudy n examnaton of table - and fg-3 reveal that the avalablty of the ytem decreae catatrophcally n the begnnng but after t =4 t decreae n a contant manner lo fg-4 the graph roft functon v t and the correpondng value are gven n the table - crtcal examnaton of fg-4 yeld that proft functon negatve n tartng becaue ntally we nvet money to etablh the new ytem but G( become potve and t value tart ncreang up to t=6 and thereafter t agan decreae Maxmum value of G ( 445488 and t for t=6 t up t 858976934 7359 3 67346 4 5337693 5 4533774 6 38766373 7 339787 8 7348649 9 98738 937647 64956 able- up( 8 6 up( 4 3 4 5 6 7 8 9 3 t -------> g- 3 9

G( --------> IJS 4 () July Sharma & al ehavour of Subytem of ommuncaton Satellte G t t -3-359965 6837 3 37445 4 39565 5 43757 6 445488 7 4588 8 33679 9 95995 35 able- G( 5 4 3 - - -3-4 3 4 5 6 7 8 9 t -------> G g- 4 8 NS [] Satellte ommuncaton Sytem ngneerng rentce Hall Inc New Jerey 993 G Gordon and WL Morgan: [] rncple of ommuncaton Satellte John Wley & Son Inc NY 993 533 pp [3] Hyder ; Joorel J S: Stochatc ehavor of a wo Unt old Standby edundant Sytem Subject to andom alure Mcroelectronc elab Vol 36() pp 43 46 996 [4] Satellte ommuncaton Sytem John Wlley and Son ourth dton 3 757pp Satellte and atellte ubytem relablty: Stattcal data analy and modelng [5] ape V; akten : n Introducton to ontnuou-tme Stochatc rocee: heory Model and pplcaton" rkhauer ublcaton 4 [6] Sharma eepankar Sharma Jyot; tmaton of relablty parameter for telecommuncaton ytem Journal of combnatorc nformaton and ytem cence Vol9 No-4 pp5-6(5) [7] Sharma eepankar Geol K; Sharma Vnt: elablty and M evaluaton of telecommuncaton ytem ulletn of pure and appled Scence Vol4 () No pp349-354(5) 9