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 34.
iv. lappuse
... use of 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.
... use of 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.
viii. lappuse
... Binomial and Kaplan - Meier Confidence Bands on Median Rank Estimator F20 79 2.2.5 Empirical Estimates of Other Reliability Metrics : R ( t ) , 2 ( t ) , f ( t ) , and H ( t ) 2.2.6 Working with Grouped Data 81 83 2.3 Working with ...
... Binomial and Kaplan - Meier Confidence Bands on Median Rank Estimator F20 79 2.2.5 Empirical Estimates of Other Reliability Metrics : R ( t ) , 2 ( t ) , f ( t ) , and H ( t ) 2.2.6 Working with Grouped Data 81 83 2.3 Working with ...
x. lappuse
... Binomial Nomograph 211 6.3.2 Exact Formulas for Binomial Confidence Limits in Success - Failure Testing 213 6.3.3 Large - Sample Confidence Limit Approximation on Reliability 214 6.3.4 Bayesian Adjustment to Success - Failure Testing ...
... Binomial Nomograph 211 6.3.2 Exact Formulas for Binomial Confidence Limits in Success - Failure Testing 213 6.3.3 Large - Sample Confidence Limit Approximation on Reliability 214 6.3.4 Bayesian Adjustment to Success - Failure Testing ...
xi. lappuse
... Binomial Distribution 241 Appendix 6B . Bayesian Estimation of Failure Fraction , p Appendix 6C . Weibull Properties 246 250 7. Accelerated Testing 253 7.1 Accelerated Testing 253 7.1.1 Benefits / Limitations of Accelerated Testing 7.1 ...
... Binomial Distribution 241 Appendix 6B . Bayesian Estimation of Failure Fraction , p Appendix 6C . Weibull Properties 246 250 7. Accelerated Testing 253 7.1 Accelerated Testing 253 7.1.1 Benefits / Limitations of Accelerated Testing 7.1 ...
16. lappuse
... binomial model . The binomial probability distribution is given by n bi ( r ' ; p , n ) = ( ' " ' ) · p ′ ( 1 − p ) " - r r ( 1.4 ) The binomial probability , bi ( r ; p , n ) , is the probability of observing exactly r failures or ...
... binomial model . The binomial probability distribution is given by n bi ( r ' ; p , n ) = ( ' " ' ) · p ′ ( 1 − p ) " - r r ( 1.4 ) The binomial probability , bi ( r ; p , n ) , is the probability of observing exactly r failures or ...
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CL | 314 |
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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