Uncertainties of measurement

Size: px
Start display at page:

Download "Uncertainties of measurement"

Transcription

1 Uncertainties of measrement Laboratory tas A temperatre sensor is connected as a voltage divider according to the schematic diagram on Fig.. The temperatre sensor is a thermistor type B5764K [] with nominal resistance for 5 C R 00 Ω ± 0 %. The thermistor resistance dependence on temperatre is non linear and is given by characteristic No. 03 in Appendi. The connection is powered by a 9V reglated switching power spply type RQT666K [3]. The measred otpt voltage U (variable with temperatre) is measred with a voltmeter type MT-3 [5] on range 400 mv DC. Used resistor (nominal vale: R 70 Ω) is a precision metal film resistor with accracy ± 0.%. Tas: a) Calclate ncertainty of measrement type A for voltage U. b) Calclate type B ncertainty of temperatre measrement T by considering the following ncertainty sorces (for these tass consider the temperatre in the lab to be eactly 5 C): Fig. - Schematic diagram of temperatre sensor - Uncertainty cased by power spply voltage U0 variations B - Uncertainty of R calclation cased by ncertainty of power spply voltage U0, ncertainty of measrement of voltage U and R tolerance B Write reslts as Temperatre ± ncertainty and state the sed probability distribtion fnction and sed coverage factor. c) In conclsions write what other sorces of ncertainty cold be added to the calclations for a more precise reslt

2 Soltion Important note: Remember, yo have to really repeat the whole eperiment, it means to trn off and on the power spply. Use the switch on the fitre for this. It is not sfficient to jst read 9 following vales from the voltmeter. a) Uncertainty type A Uncertainty type A is obtained by repeating the eperiment and by statistical evalation. Tab. 3 - measred and calclated vales i U (mv) Sample mean n i i n () Estimated standard deviation of the mean ncertainty type A s A s n n i ( i ) ( ) n n () As the eperiment was repeated only 8 times, the interval for ncertainty type A has to be etended > corrected ncertainty type A needs to be calclated. In other words if the eperiment is repeated only 3 times the reslt is mch less sre than it is if the eperiment is repeated 00 times. The vales of the correction coefficient are given by the coverage factor from the Stdent s t- distribtion table. As at the end we will write the reslt in form: average ± ncertainty, we tae only ½ of the vale in Stdent s t-distribtion table. Those vales are shown in Tab. 4 directly. If the reslt wold be written as: average; ncertainty, then we wold tae the whole interval. Tab. Coverage factor for normal distribtion of ncertainty type A for p 95,45 % (ronded) i (nmber of measrements) (coverage factor),0,,,,,3,3,4,7,3 7,0 Corrected ncertainty type A is AK (3) A

3 b) Uncertainty type B - Uncertainty U0 in power spply voltage From manfactrer specifications on Fig. 3 it can see that the otpt voltage shold be 9,5 V ± 0,5 V when the power spply is nloaded. This assmption can be made as the circit crrent is very small; it was measred to be approimately 0 µa. As the manfactrer gives s an interval and not ncertainty, we have to calclate it. The interval 9,5 V ± 0,5 V is where the voltage is with certainty almost 00 %. If interval of the sed vale is nown then standard ncertainty is fond from U 0 (4) where is the semi-range (or half-width) between the pper and lower limits and is a divisor dependent on the shape of the probability distribtion fnction of or variable (rectanglar, normal, U-Shape etc.). Its vales are shown in Tab. 5 Tab. 5 - divisors for varios probability distribtion fnctions probability distribtion Rectanglar (for normal (Gassian) U- Shape trianglar fnction probability for σ %) (95,45 %) Coverage 3 factor 6 If we consider a normal (Gassian) probability distribtion of power spply otpt voltage, the ncertainty cased by power spply voltage variations will be U 0 (5) - Calclation of ncertainty R cased by ncertainty ncertainty U0 in power spply voltage, ncertainty of measrement of voltage U and R tolerance B To calclate ncertainty of measrement of R we have to first analyze the circit. The connection is a voltage divider composed of resistor R and temperatre sensor R. Otpt voltage of this divider is U f ( U 0, R, R) (6) (7) From circit analysis it is nown R U U U 0 R R R + R U 0 U (8)

4 Uncertainty R will be given by ncertainties of all variables in eqation(8), i.e. by ncertainty of U0, U and R. The individal components are calclated as follows - Uncertainty U0 in power spply voltage Uncertainty cased by power spply voltage variations B was calclated earlier as U 0 - Uncertainty cased by resistance R tolerance R To calclate ncertainty of resistance R, R, available manfactrer data is sed, R 70 Ω ± 0, % > R R 0,% /00 ± 0, 7 Ω. If we assme a normal (Gassian) distribtion of resistance for σ then R R (9) - Uncertainty of measrement of voltage U U From voltmeter manfactrer specifications on Fig. 5 and Fig. 6 it is fond that on range 400 mv, accracy is ±(0,5 % of reading + 4 digits), resoltion 00 µv. Considering the worst case (highest inaccracy) on this range (maimal voltage), we get ± (0,5 % of reading + 4 digits) ± ( 0,5 % 400 mv µv) ±,4 mv Uncertainty for a rectanglar distribtion is U accracy (0) 3 - Uncertainty of R calclation R In a general case, to calclate the ncertainty of a variable given as a fnction f of inpt variables,,..., n it is necessary to calclate a sqare root of sm of sqares of partial derivatives from fnction f by all variables,,..., n mltiplied by ncertainty of nominal vales of variables,...,, N N nn This is called law of propagation of ncertainty f f f B N K N () nn n Note.: Uncertainties of measrement always add together. If one ncertainty is mch larger and others are small, the large one will be dominant and no improvement in the smaller ncertainties in the whole measring chain will improve mch the combined ncertainty. It will be the weaest lin in the whole chain. In other words, the most significant part of total ncertainty will be cased by the largest ncertainty. As not correlated variables are assmed, in or case R f ( U 0, U, R), the ncertainty is

5 R R R R U 0 + U + R U 0 U R U R R U 0 U ( R U) ( ) R U 0 U 0 U 0 U 0 U R R U R U + U U ( U 0 U) U 0 U R U R R R U 0 U () (3) (4) (5) (6) R (7) The ncertainty R shows the ncertainty of R measrement based on nown properties of the circit. To recalclate this to ncertainty of temperatre measrement, the dependence of thermistor resistance as a fnction of temperatre has to be nown. From the manfactrer data on Fig. it was determined, that in the range 0 C to 50 C the dependence can be approimated with an eponential fnction R[ Ω] ln 0,044 T[ C] R[ Ω ] 695 e T [ C] 695 (8) 0, Uncertainty cased by resistance R tolerance RTOL Eqation (8) gives s an approimated dependency of resistance on temperatre. The manfactre vales are given with a tolerance ± 0 %. This tolerance of the nominal vale has also to be considered for temperatre ncertainty calclations. R 0 Ω ± 0 % > R 0% /00 ± 0 Ω. If we assme a normal (Gassian) distribtion of resistance for σ then ncertainty is R R TOL R (9) - Uncertainty of temperatre measrement T The ncertainty of temperatre T measrement is given by ncertainty cased by the properties of the connection given by ncertainty R and by ncertainty cased by thermistor R tolerance RTOL T T T R + RTOL R R (0)

6 T 5000 R 07 R T 5000 R R R 07 R T 5000 RTOL RTOL R 07 R () () (3) T (4) Write reslt as: Temperatre ± ncertainty. Uncertainty has been evalated assming normal distribtion and coverage factor (probability 95,45 %)

7 Appendi Fig. - Thermistor resistance - temperatre dependence

8 Fig. 3 - Power spply specifications

9 Fig. 4 - Accracy specifications Fig. 5 - MT-3 mltimeter accracy for DC voltage References [] Bell S.: A Beginner's Gide to Uncertainty of Measrement, online (9..00) on [] NTC thermistors for temperatre measrement, online (6..0) on B5764 K64.pdf [3] Power spply specifications, online (6..0) on [5]MT-3 online (6..0) on [6] Taylor B. N., Kyatt Ch. E.: Gidelines for Evalating and Epressing the Uncertainty of NIST Measrement Reslts, online (6..0) on [7] Appendi V. Uncertainties and Error Propagation, online (6..0) on

BLOOM S TAXONOMY. Following Bloom s Taxonomy to Assess Students

BLOOM S TAXONOMY. Following Bloom s Taxonomy to Assess Students BLOOM S TAXONOMY Topic Following Bloom s Taonomy to Assess Stdents Smmary A handot for stdents to eplain Bloom s taonomy that is sed for item writing and test constrction to test stdents to see if they

More information

Workshop on Understanding and Evaluating Radioanalytical Measurement Uncertainty November 2007

Workshop on Understanding and Evaluating Radioanalytical Measurement Uncertainty November 2007 1833-3 Workshop on Understanding and Evalating Radioanalytical Measrement Uncertainty 5-16 November 007 Applied Statistics: Basic statistical terms and concepts Sabrina BARBIZZI APAT - Agenzia per la Protezione

More information

Uncertainty Analysis of the Thunder Scientific Model 1200 Two-Pressure Humidity Generator

Uncertainty Analysis of the Thunder Scientific Model 1200 Two-Pressure Humidity Generator Uncertainty Analysis of the hnder cientific Model 100 wo-ressre Hmidity Generator 1.0 Introdction escribed here is the generated hmidity ncertainty analysis, following the Gidelines of NI and NL International

More information

UNCERTAINTY FOCUSED STRENGTH ANALYSIS MODEL

UNCERTAINTY FOCUSED STRENGTH ANALYSIS MODEL 8th International DAAAM Baltic Conference "INDUSTRIAL ENGINEERING - 19-1 April 01, Tallinn, Estonia UNCERTAINTY FOCUSED STRENGTH ANALYSIS MODEL Põdra, P. & Laaneots, R. Abstract: Strength analysis is a

More information

PREDICTABILITY OF SOLID STATE ZENER REFERENCES

PREDICTABILITY OF SOLID STATE ZENER REFERENCES PREDICTABILITY OF SOLID STATE ZENER REFERENCES David Deaver Flke Corporation PO Box 99 Everett, WA 986 45-446-6434 David.Deaver@Flke.com Abstract - With the advent of ISO/IEC 175 and the growth in laboratory

More information

Technical Note. ODiSI-B Sensor Strain Gage Factor Uncertainty

Technical Note. ODiSI-B Sensor Strain Gage Factor Uncertainty Technical Note EN-FY160 Revision November 30, 016 ODiSI-B Sensor Strain Gage Factor Uncertainty Abstract Lna has pdated or strain sensor calibration tool to spport NIST-traceable measrements, to compte

More information

Section 7.4: Integration of Rational Functions by Partial Fractions

Section 7.4: Integration of Rational Functions by Partial Fractions Section 7.4: Integration of Rational Fnctions by Partial Fractions This is abot as complicated as it gets. The Method of Partial Fractions Ecept for a few very special cases, crrently we have no way to

More information

METHODOLOGY FOR EXPERIMENTALLY DETERMINING THE CHARACTERISTICS OF MEDIUM VOLTAGE ZINC OXIDE VARISTORS

METHODOLOGY FOR EXPERIMENTALLY DETERMINING THE CHARACTERISTICS OF MEDIUM VOLTAGE ZINC OXIDE VARISTORS Copyright 01 by ABCM Page 973 METHODOLOGY FO EXPEIMENTALLY DETEMINING THE CHAACTEISTICS OF MEDIUM VOLTAGE ZINC OXIDE VAISTOS Barbosa, F.A.T., fernandotpinamba@ig.com.br Orlando, A.F., afo@pc-rio.br Pontifical

More information

MEASUREMENT OF TURBULENCE STATISTICS USING HOT WIRE ANEMOMETRY

MEASUREMENT OF TURBULENCE STATISTICS USING HOT WIRE ANEMOMETRY MEASUREMENT OF TURBULENCE STATISTICS USING HOT WIRE ANEMOMETRY Mrgan Thangadrai +, Atl Kmar Son *, Mritynjay Singh +, Sbhendra *, Vinoth Kmar ++, Ram Pyare Singh +, Pradip K Chatterjee + + Thermal Engineering,

More information

Department of Industrial Engineering Statistical Quality Control presented by Dr. Eng. Abed Schokry

Department of Industrial Engineering Statistical Quality Control presented by Dr. Eng. Abed Schokry Department of Indstrial Engineering Statistical Qality Control presented by Dr. Eng. Abed Schokry Department of Indstrial Engineering Statistical Qality Control C and U Chart presented by Dr. Eng. Abed

More information

An Investigation into Estimating Type B Degrees of Freedom

An Investigation into Estimating Type B Degrees of Freedom An Investigation into Estimating Type B Degrees of H. Castrp President, Integrated Sciences Grop Jne, 00 Backgrond The degrees of freedom associated with an ncertainty estimate qantifies the amont of information

More information

VIBRATION MEASUREMENT UNCERTAINTY AND RELIABILITY DIAGNOSTICS RESULTS IN ROTATING SYSTEMS

VIBRATION MEASUREMENT UNCERTAINTY AND RELIABILITY DIAGNOSTICS RESULTS IN ROTATING SYSTEMS VIBRATIO MEASUREMET UCERTAITY AD RELIABILITY DIAGOSTICS RESULTS I ROTATIG SYSTEMS. Introdction M. Eidkevicite, V. Volkovas anas University of Technology, Lithania The rotating machinery technical state

More information

Study on the impulsive pressure of tank oscillating by force towards multiple degrees of freedom

Study on the impulsive pressure of tank oscillating by force towards multiple degrees of freedom EPJ Web of Conferences 80, 0034 (08) EFM 07 Stdy on the implsive pressre of tank oscillating by force towards mltiple degrees of freedom Shigeyki Hibi,* The ational Defense Academy, Department of Mechanical

More information

VNVe 2017/ Final project

VNVe 2017/ Final project VNVe 2017/2018 - Final project Athor s name Febrary 21, 2018 Solve all examples and send yor final soltion (pdf file) and all sorce codes (LaTex, MATLAB,, ++, etc.) to e-mail address satek@fit.vtbr.cz

More information

Chapter 3 MATHEMATICAL MODELING OF DYNAMIC SYSTEMS

Chapter 3 MATHEMATICAL MODELING OF DYNAMIC SYSTEMS Chapter 3 MATHEMATICAL MODELING OF DYNAMIC SYSTEMS 3. System Modeling Mathematical Modeling In designing control systems we mst be able to model engineered system dynamics. The model of a dynamic system

More information

Linear System Theory (Fall 2011): Homework 1. Solutions

Linear System Theory (Fall 2011): Homework 1. Solutions Linear System Theory (Fall 20): Homework Soltions De Sep. 29, 20 Exercise (C.T. Chen: Ex.3-8). Consider a linear system with inpt and otpt y. Three experiments are performed on this system sing the inpts

More information

Uncertainty Evaluation of Toluene Determination in Room Air by Thermal Desorption Gas Chromatography

Uncertainty Evaluation of Toluene Determination in Room Air by Thermal Desorption Gas Chromatography International Conference on Civil, Transportation and Environment (ICCTE 06) ncertainty Evalation of Tolene Determination in Room Air by Thermal Desorption Gas Chromatography Xiaoyan Wen, a,yanhi Gao,

More information

Cosmic Microwave Background Radiation. Carl W. Akerlof April 7, 2013

Cosmic Microwave Background Radiation. Carl W. Akerlof April 7, 2013 Cosmic Microwave Backgrond Radiation Carl W. Akerlof April 7, 013 Notes: Dry ice sblimation temperatre: Isopropyl alcohol freezing point: LNA operating voltage: 194.65 K 184.65 K 18.0 v he terrestrial

More information

The Determination of Uncertainties in Creep Testing to European Standard pren 10291

The Determination of Uncertainties in Creep Testing to European Standard pren 10291 UNCERT COP 1: Manal of Codes of Practice for the Determination of Uncertainties in Mechanical Tests on Metallic Materials Code of Practice No. 1 The Determination of Uncertainties in Creep Testing to Eropean

More information

Measurement Process Qualification

Measurement Process Qualification Measrement Process Qalification Gage Acceptance and Measrement Uncertainty According to Crrent Standards Bearbeitet von Edgar Dietrich, Alfred Schlze 1. Aflage 011. Bch. XII, 43 S. Hardcover ISBN 978 3

More information

TEMPERATURE CALIBRATION OF AN INFRARED THERMOGRAPHIC CAMERA AND ITS UNCERTAINTY OF MEASUREMENT

TEMPERATURE CALIBRATION OF AN INFRARED THERMOGRAPHIC CAMERA AND ITS UNCERTAINTY OF MEASUREMENT Proceedings of COBEM 007 Copyright 007 y ABCM 19th International Congress of Mechanical Engineering Novemer 5-9, 007, Brasília, DF TEMPERATURE CALIBRATION OF AN INFRARED THERMOGRAPHIC CAMERA AND ITS UNCERTAINTY

More information

Designing of Virtual Experiments for the Physics Class

Designing of Virtual Experiments for the Physics Class Designing of Virtal Experiments for the Physics Class Marin Oprea, Cristina Miron Faclty of Physics, University of Bcharest, Bcharest-Magrele, Romania E-mail: opreamarin2007@yahoo.com Abstract Physics

More information

Reflections on a mismatched transmission line Reflections.doc (4/1/00) Introduction The transmission line equations are given by

Reflections on a mismatched transmission line Reflections.doc (4/1/00) Introduction The transmission line equations are given by Reflections on a mismatched transmission line Reflections.doc (4/1/00) Introdction The transmission line eqations are given by, I z, t V z t l z t I z, t V z, t c z t (1) (2) Where, c is the per-nit-length

More information

Classify by number of ports and examine the possible structures that result. Using only one-port elements, no more than two elements can be assembled.

Classify by number of ports and examine the possible structures that result. Using only one-port elements, no more than two elements can be assembled. Jnction elements in network models. Classify by nmber of ports and examine the possible strctres that reslt. Using only one-port elements, no more than two elements can be assembled. Combining two two-ports

More information

Prandl established a universal velocity profile for flow parallel to the bed given by

Prandl established a universal velocity profile for flow parallel to the bed given by EM 0--00 (Part VI) (g) The nderlayers shold be at least three thicknesses of the W 50 stone, bt never less than 0.3 m (Ahrens 98b). The thickness can be calclated sing Eqation VI-5-9 with a coefficient

More information

Conceptual Questions. Problems. 852 CHAPTER 29 Magnetic Fields

Conceptual Questions. Problems. 852 CHAPTER 29 Magnetic Fields 852 CHAPTER 29 Magnetic Fields magnitde crrent, and the niform magnetic field points in the positive direction. Rank the loops by the magnitde of the torqe eerted on them by the field from largest to smallest.

More information

Theoretical and Experimental Implementation of DC Motor Nonlinear Controllers

Theoretical and Experimental Implementation of DC Motor Nonlinear Controllers Theoretical and Experimental Implementation of DC Motor Nonlinear Controllers D.R. Espinoza-Trejo and D.U. Campos-Delgado Facltad de Ingeniería, CIEP, UASLP, espinoza trejo dr@aslp.mx Facltad de Ciencias,

More information

Math 116 First Midterm October 14, 2009

Math 116 First Midterm October 14, 2009 Math 116 First Midterm October 14, 9 Name: EXAM SOLUTIONS Instrctor: Section: 1. Do not open this exam ntil yo are told to do so.. This exam has 1 pages inclding this cover. There are 9 problems. Note

More information

sin u 5 opp } cos u 5 adj } hyp opposite csc u 5 hyp } sec u 5 hyp } opp Using Inverse Trigonometric Functions

sin u 5 opp } cos u 5 adj } hyp opposite csc u 5 hyp } sec u 5 hyp } opp Using Inverse Trigonometric Functions 13 Big Idea 1 CHAPTER SUMMARY BIG IDEAS Using Trigonometric Fnctions Algebra classzone.com Electronic Fnction Library For Yor Notebook hypotense acent osite sine cosine tangent sin 5 hyp cos 5 hyp tan

More information

A Model-Free Adaptive Control of Pulsed GTAW

A Model-Free Adaptive Control of Pulsed GTAW A Model-Free Adaptive Control of Plsed GTAW F.L. Lv 1, S.B. Chen 1, and S.W. Dai 1 Institte of Welding Technology, Shanghai Jiao Tong University, Shanghai 00030, P.R. China Department of Atomatic Control,

More information

Pulses on a Struck String

Pulses on a Struck String 8.03 at ESG Spplemental Notes Plses on a Strck String These notes investigate specific eamples of transverse motion on a stretched string in cases where the string is at some time ndisplaced, bt with a

More information

IJSER. =η (3) = 1 INTRODUCTION DESCRIPTION OF THE DRIVE

IJSER. =η (3) = 1 INTRODUCTION DESCRIPTION OF THE DRIVE International Jornal of Scientific & Engineering Research, Volme 5, Isse 4, April-014 8 Low Cost Speed Sensor less PWM Inverter Fed Intion Motor Drive C.Saravanan 1, Dr.M.A.Panneerselvam Sr.Assistant Professor

More information

Sources of Non Stationarity in the Semivariogram

Sources of Non Stationarity in the Semivariogram Sorces of Non Stationarity in the Semivariogram Migel A. Cba and Oy Leangthong Traditional ncertainty characterization techniqes sch as Simple Kriging or Seqential Gassian Simlation rely on stationary

More information

Formal Methods for Deriving Element Equations

Formal Methods for Deriving Element Equations Formal Methods for Deriving Element Eqations And the importance of Shape Fnctions Formal Methods In previos lectres we obtained a bar element s stiffness eqations sing the Direct Method to obtain eact

More information

Assignment Fall 2014

Assignment Fall 2014 Assignment 5.086 Fall 04 De: Wednesday, 0 December at 5 PM. Upload yor soltion to corse website as a zip file YOURNAME_ASSIGNMENT_5 which incldes the script for each qestion as well as all Matlab fnctions

More information

Simulation investigation of the Z-source NPC inverter

Simulation investigation of the Z-source NPC inverter octoral school of energy- and geo-technology Janary 5 20, 2007. Kressaare, Estonia Simlation investigation of the Z-sorce NPC inverter Ryszard Strzelecki, Natalia Strzelecka Gdynia Maritime University,

More information

10.2 Solving Quadratic Equations by Completing the Square

10.2 Solving Quadratic Equations by Completing the Square . Solving Qadratic Eqations b Completing the Sqare Consider the eqation ( ) We can see clearl that the soltions are However, What if the eqation was given to s in standard form, that is 6 How wold we go

More information

Prediction of Effective Asphalt Layer Temperature

Prediction of Effective Asphalt Layer Temperature TRANSPORTATION RESEARCH RECORD 1473 93 Prediction of Effective Asphalt Layer Temperatre EARL H. INGE, JR., AND Y. RICHARD KIM The most widely sed method for evalating deflection measrements for overlay

More information

3. Several Random Variables

3. Several Random Variables . Several Random Variables. To Random Variables. Conditional Probabilit--Revisited. Statistical Independence.4 Correlation beteen Random Variables Standardied (or ero mean normalied) random variables.5

More information

STEP Support Programme. STEP III Hyperbolic Functions: Solutions

STEP Support Programme. STEP III Hyperbolic Functions: Solutions STEP Spport Programme STEP III Hyperbolic Fnctions: Soltions Start by sing the sbstittion t cosh x. This gives: sinh x cosh a cosh x cosh a sinh x t sinh x dt t dt t + ln t ln t + ln cosh a ln ln cosh

More information

A Macroscopic Traffic Data Assimilation Framework Based on Fourier-Galerkin Method and Minimax Estimation

A Macroscopic Traffic Data Assimilation Framework Based on Fourier-Galerkin Method and Minimax Estimation A Macroscopic Traffic Data Assimilation Framework Based on Forier-Galerkin Method and Minima Estimation Tigran T. Tchrakian and Sergiy Zhk Abstract In this paper, we propose a new framework for macroscopic

More information

Hybrid modelling and model reduction for control & optimisation

Hybrid modelling and model reduction for control & optimisation Hybrid modelling and model redction for control & optimisation based on research done by RWTH-Aachen and TU Delft presented by Johan Grievink Models for control and optimiation market and environmental

More information

Artemisa. edigraphic.com. The uncertainty concept and its implications for laboratory medicine. medigraphic. en línea. Reporte breve Metrología

Artemisa. edigraphic.com. The uncertainty concept and its implications for laboratory medicine. medigraphic. en línea. Reporte breve Metrología medigraphic rtemisa en línea Reporte breve Metrología The ncertainty concept and its implications for laboratory medicine nders Kallner, PhD MD* MESUREMENT PERFORMNE * Department of linical hemistry Karolinska

More information

System identification of buildings equipped with closed-loop control devices

System identification of buildings equipped with closed-loop control devices System identification of bildings eqipped with closed-loop control devices Akira Mita a, Masako Kamibayashi b a Keio University, 3-14-1 Hiyoshi, Kohok-k, Yokohama 223-8522, Japan b East Japan Railway Company

More information

Error is the difference between reality and our representation of it (Unwin 1995).

Error is the difference between reality and our representation of it (Unwin 1995). 9. Analysis a. Analysis tools for dam removal vi. Estimating Measrement Error 1.0 Rationale For most dam removal or restoration monitoring projects, the emphasis is on changes in attribtes, not the vale

More information

Vectors in Rn un. This definition of norm is an extension of the Pythagorean Theorem. Consider the vector u = (5, 8) in R 2

Vectors in Rn un. This definition of norm is an extension of the Pythagorean Theorem. Consider the vector u = (5, 8) in R 2 MATH 307 Vectors in Rn Dr. Neal, WKU Matrices of dimension 1 n can be thoght of as coordinates, or ectors, in n- dimensional space R n. We can perform special calclations on these ectors. In particlar,

More information

FEA Solution Procedure

FEA Solution Procedure EA Soltion Procedre (demonstrated with a -D bar element problem) EA Procedre for Static Analysis. Prepare the E model a. discretize (mesh) the strctre b. prescribe loads c. prescribe spports. Perform calclations

More information

PROBLEMS

PROBLEMS PROBLEMS------------------------------------------------ - 7- Thermodynamic Variables and the Eqation of State 1. Compter (a) the nmber of moles and (b) the nmber of molecles in 1.00 cm of an ideal gas

More information

Optimization via the Hamilton-Jacobi-Bellman Method: Theory and Applications

Optimization via the Hamilton-Jacobi-Bellman Method: Theory and Applications Optimization via the Hamilton-Jacobi-Bellman Method: Theory and Applications Navin Khaneja lectre notes taken by Christiane Koch Jne 24, 29 1 Variation yields a classical Hamiltonian system Sppose that

More information

Second-Order Wave Equation

Second-Order Wave Equation Second-Order Wave Eqation A. Salih Department of Aerospace Engineering Indian Institte of Space Science and Technology, Thirvananthapram 3 December 016 1 Introdction The classical wave eqation is a second-order

More information

The SISTEM method. LOS ascending

The SISTEM method. LOS ascending The SISTEM method Simltaneos and Integrated Strain Tensor Estimation from geodetic and satellite deformation Measrements A new global approach to obtain three-dimensional displacement maps by integrating

More information

Microscopic Properties of Gases

Microscopic Properties of Gases icroscopic Properties of Gases So far we he seen the gas laws. These came from observations. In this section we want to look at a theory that explains the gas laws: The kinetic theory of gases or The kinetic

More information

Burgers Equation. A. Salih. Department of Aerospace Engineering Indian Institute of Space Science and Technology, Thiruvananthapuram 18 February 2016

Burgers Equation. A. Salih. Department of Aerospace Engineering Indian Institute of Space Science and Technology, Thiruvananthapuram 18 February 2016 Brgers Eqation A. Salih Department of Aerospace Engineering Indian Institte of Space Science and Technology, Thirvananthapram 18 Febrary 216 1 The Brgers Eqation Brgers eqation is obtained as a reslt of

More information

A TWO-STAGE INDUCTIVE VOLTAGE DIVIDER FOR COAXIAL BRIDGES

A TWO-STAGE INDUCTIVE VOLTAGE DIVIDER FOR COAXIAL BRIDGES A TWO-STAGE IDUTIVE VOLTAGE DIVIDER FOR OAIAL BRIDGES G. A. Kyriazis, J. A. Moreno, J. Melcher 3 Inmetro, Dqe de axias, Brazil, gakyriazis@inmetro.gov.br EAM, Qerétaro, Mexico, jmoreno@cenam.mx 3 PTB,

More information

A New Approach to Direct Sequential Simulation that Accounts for the Proportional Effect: Direct Lognormal Simulation

A New Approach to Direct Sequential Simulation that Accounts for the Proportional Effect: Direct Lognormal Simulation A ew Approach to Direct eqential imlation that Acconts for the Proportional ffect: Direct ognormal imlation John Manchk, Oy eangthong and Clayton Detsch Department of Civil & nvironmental ngineering University

More information

This Topic follows on from Calculus Topics C1 - C3 to give further rules and applications of differentiation.

This Topic follows on from Calculus Topics C1 - C3 to give further rules and applications of differentiation. CALCULUS C Topic Overview C FURTHER DIFFERENTIATION This Topic follows on from Calcls Topics C - C to give frther rles applications of differentiation. Yo shold be familiar with Logarithms (Algebra Topic

More information

Quadratic and Rational Inequalities

Quadratic and Rational Inequalities Chapter Qadratic Eqations and Ineqalities. Gidelines for solving word problems: (a) Write a verbal model that will describe what yo need to know. (b) Assign labels to each part of the verbal model nmbers

More information

2 THE FIRST AND SECOND GENERATION OF THE VK-FILTER

2 THE FIRST AND SECOND GENERATION OF THE VK-FILTER ůma R. he passband Width of the Vold-Kalman Order racking Filter. Sborník vědeckých prací VŠB-U Ostrava řada stroní r. LI 5. č. paper No. 485 pp. 49-54. ISSN - 47. ISBN 8-48-88-X. Jiří ŮMA * HE PASSBAND

More information

An Introduction to Geostatistics

An Introduction to Geostatistics An Introdction to Geostatistics András Bárdossy Universität Stttgart Institt für Wasser- nd Umweltsystemmodellierng Lehrsthl für Hydrologie nd Geohydrologie Prof. Dr. rer. nat. Dr.-Ing. András Bárdossy

More information

MULTIPLE REGRESSION WITH TWO EXPLANATORY VARIABLES: EXAMPLE. ASVABC + u

MULTIPLE REGRESSION WITH TWO EXPLANATORY VARIABLES: EXAMPLE. ASVABC + u MULTIPLE REGRESSION MULTIPLE REGRESSION WITH TWO EXPLANATORY VARIABLES: EXAMPLE EARNINGS α + HGC + ASVABC + α EARNINGS ASVABC HGC This seqence provides a geometrical interpretation of a mltiple regression

More information

Model of an unglazed photovoltaic thermal collector based on standard test procedures

Model of an unglazed photovoltaic thermal collector based on standard test procedures Model of an nglazed photovoltaic thermal collector based on standard test procedres Martin Stegmann, Erik Bertram, Gnter Rockendorf, Stefan Janßen Institt für Solarenergieforschng Hameln/Emmerthal (ISFH)

More information

Control Performance Monitoring of State-Dependent Nonlinear Processes

Control Performance Monitoring of State-Dependent Nonlinear Processes Control Performance Monitoring of State-Dependent Nonlinear Processes Lis F. Recalde*, Hong Ye Wind Energy and Control Centre, Department of Electronic and Electrical Engineering, University of Strathclyde,

More information

Electron Phase Slip in an Undulator with Dipole Field and BPM Errors

Electron Phase Slip in an Undulator with Dipole Field and BPM Errors CS-T--14 October 3, Electron Phase Slip in an Undlator with Dipole Field and BPM Errors Pal Emma SAC ABSTRACT A statistical analysis of a corrected electron trajectory throgh a planar ndlator is sed to

More information

FOUNTAIN codes [3], [4] provide an efficient solution

FOUNTAIN codes [3], [4] provide an efficient solution Inactivation Decoding of LT and Raptor Codes: Analysis and Code Design Francisco Lázaro, Stdent Member, IEEE, Gianligi Liva, Senior Member, IEEE, Gerhard Bach, Fellow, IEEE arxiv:176.5814v1 [cs.it 19 Jn

More information

Model Predictive Control Lecture VIa: Impulse Response Models

Model Predictive Control Lecture VIa: Impulse Response Models Moel Preictive Control Lectre VIa: Implse Response Moels Niet S. Kaisare Department of Chemical Engineering Inian Institte of Technolog Maras Ingreients of Moel Preictive Control Dnamic Moel Ftre preictions

More information

1 JAXA Special Pblication JAXA-SP-1-E Small-scale trblence affects flow fields arond a blff body and therefore it governs characteristics of cross-sec

1 JAXA Special Pblication JAXA-SP-1-E Small-scale trblence affects flow fields arond a blff body and therefore it governs characteristics of cross-sec First International Symposim on Fltter and its Application, 1 11 IEXPERIMENTAL STUDY ON TURBULENCE PARTIAL SIMULATION FOR BLUFF BODY Hiroshi Katschi +1 and Hitoshi Yamada + +1 Yokohama National University,

More information

Dynamic Optimization of First-Order Systems via Static Parametric Programming: Application to Electrical Discharge Machining

Dynamic Optimization of First-Order Systems via Static Parametric Programming: Application to Electrical Discharge Machining Dynamic Optimization of First-Order Systems via Static Parametric Programming: Application to Electrical Discharge Machining P. Hgenin*, B. Srinivasan*, F. Altpeter**, R. Longchamp* * Laboratoire d Atomatiqe,

More information

Methods for Advanced Mathematics (C3) FRIDAY 11 JANUARY 2008

Methods for Advanced Mathematics (C3) FRIDAY 11 JANUARY 2008 ADVANCED GCE 4753/ MATHEMATICS (MEI) Methods for Advanced Mathematics (C3) FRIDAY JANUARY 8 Additional materials: Answer Booklet (8 pages) Graph paper MEI Eamination Formlae and Tables (MF) Morning Time:

More information

Design and Data Acquisition for Thermal Conductivity Matric Suction Sensors

Design and Data Acquisition for Thermal Conductivity Matric Suction Sensors 68 TRANSPORTATION RSARCH RCORD 1432 Design and Data Acqisition for Thermal Condctivity Matric Sction Sensors J. K.-M. GAN, D. G. FRDLUND, A. XING, AND W.-X. LI The principles behind sing the thermal condctivity

More information

Adjoint-Based Sensitivity Analysis for Computational Fluid Dynamics

Adjoint-Based Sensitivity Analysis for Computational Fluid Dynamics Adjoint-Based Sensitivity Analysis for Comptational Flid Dynamics Dimitri J. Mavriplis Department of Mecanical Engineering niversity of Wyoming Laramie, WY Motivation Comptational flid dynamics analysis

More information

Appendix A: The Fully Developed Velocity Profile for Turbulent Duct Flows

Appendix A: The Fully Developed Velocity Profile for Turbulent Duct Flows Appendix A: The lly Developed Velocity Profile for Trblent Dct lows This appendix discsses the hydrodynamically flly developed velocity profile for pipe and channel flows. The geometry nder consideration

More information

High speed analysis of high pressure combustion in a constant volume cell

High speed analysis of high pressure combustion in a constant volume cell High speed analysis of high pressre combstion in a constant volme cell.j.m. Frijters *, R.J.H. Klein-Dowel, S.S. Manski, L.M.T. Somers and R.S.G. Baert Section Combstion Technology Eindhoven University

More information

FUZZY BOUNDARY ELEMENT METHODS: A NEW MULTI-SCALE PERTURBATION APPROACH FOR SYSTEMS WITH FUZZY PARAMETERS

FUZZY BOUNDARY ELEMENT METHODS: A NEW MULTI-SCALE PERTURBATION APPROACH FOR SYSTEMS WITH FUZZY PARAMETERS MODELOWANIE INŻYNIERSKIE ISNN 896-77X 3, s. 433-438, Gliwice 6 FUZZY BOUNDARY ELEMENT METHODS: A NEW MULTI-SCALE PERTURBATION APPROACH FOR SYSTEMS WITH FUZZY PARAMETERS JERZY SKRZYPCZYK HALINA WITEK Zakład

More information

University of Bristol

University of Bristol Uniersity of Bristol AEROGUST Workshop 27 th - 28 th April 2017, Uniersity of Lierpool Presented by Robbie Cook and Chris Wales Oeriew Theory Nonlinear strctral soler copled with nsteady aerodynamics Gst

More information

OPTIMIZATION ASPECTS ON MODIFICATION OF STARCH USING ELECTRON BEAM IRRADIATION FOR THE SYNTHESIS OF WATER-SOLUBLE COPOLYMERS

OPTIMIZATION ASPECTS ON MODIFICATION OF STARCH USING ELECTRON BEAM IRRADIATION FOR THE SYNTHESIS OF WATER-SOLUBLE COPOLYMERS OPTIMIZATION ASPECTS ON MODIFICATION OF STARCH USING ELECTRON BEAM IRRADIATION FOR THE SYNTHESIS OF WATER-SOLUBLE COPOLYMERS M. BRASOVEANU 1, E. KOLEVA,3, K. VUTOVA, L. KOLEVA 3, M.R. NEMȚANU 1 1 National

More information

Efficiency Increase and Input Power Decrease of Converted Prototype Pump Performance

Efficiency Increase and Input Power Decrease of Converted Prototype Pump Performance International Jornal of Flid Machinery and Systems DOI: http://dx.doi.org/10.593/ijfms.016.9.3.05 Vol. 9, No. 3, Jly-September 016 ISSN (Online): 188-9554 Original Paper Efficiency Increase and Inpt Power

More information

OPTI-502 Optical Design and Instrumentation I John E. Greivenkamp Final Exam In Class Page 1/16 Fall, 2013

OPTI-502 Optical Design and Instrumentation I John E. Greivenkamp Final Exam In Class Page 1/16 Fall, 2013 OPTI-502 Optical Design and Instrmentation I John E. Greivenkamp Final Exam In Class Page 1/16 Fall, 2013 Name Closed book; closed notes. Time limit: 120 mintes. An eqation sheet is attached and can be

More information

Simplified Identification Scheme for Structures on a Flexible Base

Simplified Identification Scheme for Structures on a Flexible Base Simplified Identification Scheme for Strctres on a Flexible Base L.M. Star California State University, Long Beach G. Mylonais University of Patras, Greece J.P. Stewart University of California, Los Angeles

More information

Operational Amplifiers

Operational Amplifiers Operational mplifiers lektronikseminar Georg Wirth Institt für Laser Physik rd March 8 Otline Introdction General characteristics Basic operation The ideal op-amp The Concept of Feedback Basic idea of

More information

denote the space of measurable functions v such that is a Hilbert space with the scalar products

denote the space of measurable functions v such that is a Hilbert space with the scalar products ω Chebyshev Spectral Methods 34 CHEBYSHEV POLYOMIALS REVIEW (I) General properties of ORTHOGOAL POLYOMIALS Sppose I a is a given interval. Let ω : I fnction which is positive and continos on I Let L ω

More information

Methods of Design-Oriented Analysis The GFT: A Final Solution for Feedback Systems

Methods of Design-Oriented Analysis The GFT: A Final Solution for Feedback Systems http://www.ardem.com/free_downloads.asp v.1, 5/11/05 Methods of Design-Oriented Analysis The GFT: A Final Soltion for Feedback Systems R. David Middlebrook Are yo an analog or mixed signal design engineer

More information

DEFINITION OF A NEW UO 2 F 2 DENSITY LAW FOR LOW- MODERATED SOLUTIONS (H/U < 20) AND CONSEQUENCES ON CRITICALITY SAFETY

DEFINITION OF A NEW UO 2 F 2 DENSITY LAW FOR LOW- MODERATED SOLUTIONS (H/U < 20) AND CONSEQUENCES ON CRITICALITY SAFETY DEFINITION OF A NEW UO 2 F 2 DENSITY LAW FOR LOW- MODERATED SOLUTIONS ( < 20) AND CONSEQUENCES ON CRITICALITY SAFETY N. Leclaire, S. Evo, I.R.S.N., France Introdction In criticality stdies, the blk density

More information

LIGHTWEIGHT STRUCTURES in CIVIL ENGINEERING - CONTEMPORARY PROBLEMS

LIGHTWEIGHT STRUCTURES in CIVIL ENGINEERING - CONTEMPORARY PROBLEMS ITERATIOAL SEMIAR Organized by Polish Chapter o International Association or Shell and Spatial Strctres LIGHTWEIGHT STRUCTURES in CIVIL EGIEERIG - COTEMPORARY PROBLEMS STOCHASTIC CORROSIO EFFECTS O RELIABILITY

More information

Linear and Nonlinear Model Predictive Control of Quadruple Tank Process

Linear and Nonlinear Model Predictive Control of Quadruple Tank Process Linear and Nonlinear Model Predictive Control of Qadrple Tank Process P.Srinivasarao Research scholar Dr.M.G.R.University Chennai, India P.Sbbaiah, PhD. Prof of Dhanalaxmi college of Engineering Thambaram

More information

Momentum Equation. Necessary because body is not made up of a fixed assembly of particles Its volume is the same however Imaginary

Momentum Equation. Necessary because body is not made up of a fixed assembly of particles Its volume is the same however Imaginary Momentm Eqation Interest in the momentm eqation: Qantification of proplsion rates esign strctres for power generation esign of pipeline systems to withstand forces at bends and other places where the flow

More information

Digital Image Processing. Lecture 8 (Enhancement in the Frequency domain) Bu-Ali Sina University Computer Engineering Dep.

Digital Image Processing. Lecture 8 (Enhancement in the Frequency domain) Bu-Ali Sina University Computer Engineering Dep. Digital Image Processing Lectre 8 Enhancement in the Freqenc domain B-Ali Sina Uniersit Compter Engineering Dep. Fall 009 Image Enhancement In The Freqenc Domain Otline Jean Baptiste Joseph Forier The

More information

Setting The K Value And Polarization Mode Of The Delta Undulator

Setting The K Value And Polarization Mode Of The Delta Undulator LCLS-TN-4- Setting The Vale And Polarization Mode Of The Delta Undlator Zachary Wolf, Heinz-Dieter Nhn SLAC September 4, 04 Abstract This note provides the details for setting the longitdinal positions

More information

EXERCISES WAVE EQUATION. In Problems 1 and 2 solve the heat equation (1) subject to the given conditions. Assume a rod of length L.

EXERCISES WAVE EQUATION. In Problems 1 and 2 solve the heat equation (1) subject to the given conditions. Assume a rod of length L. .4 WAVE EQUATION 445 EXERCISES.3 In Problems and solve the heat eqation () sbject to the given conditions. Assme a rod of length.. (, t), (, t) (, ),, > >. (, t), (, t) (, ) ( ) 3. Find the temperatre

More information

10.4 Solving Equations in Quadratic Form, Equations Reducible to Quadratics

10.4 Solving Equations in Quadratic Form, Equations Reducible to Quadratics . Solving Eqations in Qadratic Form, Eqations Redcible to Qadratics Now that we can solve all qadratic eqations we want to solve eqations that are not eactl qadratic bt can either be made to look qadratic

More information

Efforts to partition thermal energy transfer between

Efforts to partition thermal energy transfer between IN-SITU DETERMINATION OF SOIL THERMAL CHARACTERISTICS B. W. Avermann, M. J. McFarland, D. W. Hill MEMBER ASAE ABSTRACT For variations of the least-sqares regression procedre proposed by Letta (1971) were

More information

Two identical, flat, square plates are immersed in the flow with velocity U. Compare the drag forces experienced by the SHADED areas.

Two identical, flat, square plates are immersed in the flow with velocity U. Compare the drag forces experienced by the SHADED areas. Two identical flat sqare plates are immersed in the flow with velocity U. Compare the drag forces experienced by the SHAE areas. F > F A. A B F > F B. B A C. FA = FB. It depends on whether the bondary

More information

Dynamic measurements of elastomer elements

Dynamic measurements of elastomer elements Dynamic measrements of elastomer elements Michael M. Winler Cologne University of Applied Sciences aclty of Atomotive Systems and Prodction Institte of Atomotive Engineering NVH.ab Ttor: Prof. Dr.-Ing.

More information

On the importance of horizontal turbulent transport in high resolution mesoscale simulations over cities. A. Martilli (CIEMAT, Spain), B. R.

On the importance of horizontal turbulent transport in high resolution mesoscale simulations over cities. A. Martilli (CIEMAT, Spain), B. R. On the importance of horizontal trblent transport in high resoltion mesoscale simlations over cities. A. Martilli (CIEMAT, Spain), B. R. Rotnno, P. Sllivan, E. G. Patton, M. LeMone (NCAR, USA) In an rban

More information

Decision Making in Complex Environments. Lecture 2 Ratings and Introduction to Analytic Network Process

Decision Making in Complex Environments. Lecture 2 Ratings and Introduction to Analytic Network Process Decision Making in Complex Environments Lectre 2 Ratings and Introdction to Analytic Network Process Lectres Smmary Lectre 5 Lectre 1 AHP=Hierar chies Lectre 3 ANP=Networks Strctring Complex Models with

More information

Eddy-Current Losses in Rectifier Transformers

Eddy-Current Losses in Rectifier Transformers IEEE TRANSACTIONS ON POWER APPARATUS AND SYSTEMS, VOL. PAS89, NO. 7, SEPTEMBER/OCTOBER 1970 1651 qantities of engineering interest. In the majority of past work, the great blk of compter time has been

More information

Propagation of measurement uncertainty in spatial characterisation of recreational fishing catch rates using logistic transform indicator kriging

Propagation of measurement uncertainty in spatial characterisation of recreational fishing catch rates using logistic transform indicator kriging st International Congress on Modelling and Simlation, Gold Coast, Astralia, 9 Nov to 4 Dec 05 www.mssan.org.a/modsim05 Propagation of measrement ncertainty in spatial characterisation of recreational fishing

More information

Discontinuous Fluctuation Distribution for Time-Dependent Problems

Discontinuous Fluctuation Distribution for Time-Dependent Problems Discontinos Flctation Distribtion for Time-Dependent Problems Matthew Hbbard School of Compting, University of Leeds, Leeds, LS2 9JT, UK meh@comp.leeds.ac.k Introdction For some years now, the flctation

More information

m = Average Rate of Change (Secant Slope) Example:

m = Average Rate of Change (Secant Slope) Example: Average Rate o Change Secant Slope Deinition: The average change secant slope o a nction over a particlar interval [a, b] or [a, ]. Eample: What is the average rate o change o the nction over the interval

More information

Frequency Estimation, Multiple Stationary Nonsinusoidal Resonances With Trend 1

Frequency Estimation, Multiple Stationary Nonsinusoidal Resonances With Trend 1 Freqency Estimation, Mltiple Stationary Nonsinsoidal Resonances With Trend 1 G. Larry Bretthorst Department of Chemistry, Washington University, St. Lois MO 6313 Abstract. In this paper, we address the

More information

Problem Class 4. More State Machines (Problem Sheet 3 con t)

Problem Class 4. More State Machines (Problem Sheet 3 con t) Problem Class 4 More State Machines (Problem Sheet 3 con t) Peter Cheng Department of Electrical & Electronic Engineering Imperial College London URL: www.ee.imperial.ac.k/pcheng/ee2_digital/ E-mail: p.cheng@imperial.ac.k

More information