Reliability Verification, Testing, and Analysis in Engineering DesignCRC Press, 2002. gada 27. nov. - 416 lappuses Striking a balance between the use of computer-aided engineering practices and classical life testing, this reference expounds on current theory and methods for designing reliability tests and analyzing resultant data through various examples using Microsoft® Excel, MINITAB, WinSMITH, and ReliaSoft software across multiple industries. The book disc |
No grāmatas satura
1.–5. rezultāts no 73.
iv. lappuse
... rank estimators and the development of small sample binomial confidence limits for success - failure testing is presented to the user in the Appendices to Chapters 2 and 6. The • • • formulas are shown to be different . iv PREFACE.
... rank estimators and the development of small sample binomial confidence limits for success - failure testing is presented to the user in the Appendices to Chapters 2 and 6. The • • • formulas are shown to be different . iv PREFACE.
v. lappuse
... sample size reduction of one . The book surveys both the use of accelerated life techniques for modeling life versus stress relationships and the use of HALT / HASS ( see Chapter 7 ) for quickly identifying design deficiencies . In the ...
... sample size reduction of one . The book surveys both the use of accelerated life techniques for modeling life versus stress relationships and the use of HALT / HASS ( see Chapter 7 ) for quickly identifying design deficiencies . In the ...
ix. lappuse
... Sample Sets 151 4.3.4 ML Estimation of Normal Parameters μ and o2 in the Presence of Censoring 155 4.3.5 ML Estimation of Weibull Parameters 0 and B 4.4 Simulation - Based Approaches for the Development of 157 Three - Parameter Weibull ...
... Sample Sets 151 4.3.4 ML Estimation of Normal Parameters μ and o2 in the Presence of Censoring 155 4.3.5 ML Estimation of Weibull Parameters 0 and B 4.4 Simulation - Based Approaches for the Development of 157 Three - Parameter Weibull ...
x. lappuse
... Sample - Size Determination Validation / Verification Testing 6.1.1 Verification Testing 196 199 201 203 204 204 6.1.2 Specifying a Reliability Requirement 206 6.1.3 Success - Failure Testing 206 6.1.4 Testing to Failure 207 6.1.5 ...
... Sample - Size Determination Validation / Verification Testing 6.1.1 Verification Testing 196 199 201 203 204 204 6.1.2 Specifying a Reliability Requirement 206 6.1.3 Success - Failure Testing 206 6.1.4 Testing to Failure 207 6.1.5 ...
xii. lappuse
... Sample ) Confidence Intervals 325 9.2.3 Confidence Intervals on Normal Metrics 329 9.3 Exercises 351 Appendix 9A . Algorithm by Wolynetz ( 1979 ) for Obtaining ML Estimates of Normal Parameters , μ and σ 352 Appendix 9B . Proof : The ...
... Sample ) Confidence Intervals 325 9.2.3 Confidence Intervals on Normal Metrics 329 9.3 Exercises 351 Appendix 9A . Algorithm by Wolynetz ( 1979 ) for Obtaining ML Estimates of Normal Parameters , μ and σ 352 Appendix 9B . Proof : The ...
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Citi izdevumi - Skatīt visu
Reliability Verification, Testing, and Analysis in Engineering Design Gary Wasserman Ierobežota priekšskatīšana - 2002 |
Reliability Verification, Testing, and Analysis in Engineering Design Gary Wasserman Priekšskatījums nav pieejams - 2002 |
Bieži izmantoti vārdi un frāzes
accelerated analysis Appendix approximation asymptotic beta distribution binomial distribution bogey testing Chapter component computer-aided engineering confidence intervals confidence limit cumulative cycles density function design verification electronics Equation evaluated exponential distribution expression F-distribution failure distribution failure mode Figure FMEA Goal Seek hazard identify illustrated inverse likelihood contours likelihood estimation linear location-scale distribution lognormal distribution lower confidence limit LR limits maximum likelihood median rank Microsoft Excel Minitab ML estimates Monte Carlo MTTF normal distribution occur parameter estimates percentile phenomena potential failure modes probability plots procedure properties Q-Q plots random variable rank estimator rank regression recorded failures relationship reliability metrics right-censored sample sizes shape parameter simulation standard normal stress subsystem success-failure test t₁ Table temperature usage values variance wearout Weibayes Weibull data Weibull distribution Weibull parameters Weibull plot Worked-out Example