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 50.
iv. lappuse
... metrics . In the latter case , the use of maximum likelihood estimation techniques for developing asymptotic properties is clearly explained . MINITAB TM is used to develop Monte Carlo interval estimates of reliability metrics . This is ...
... metrics . In the latter case , the use of maximum likelihood estimation techniques for developing asymptotic properties is clearly explained . MINITAB TM is used to develop Monte Carlo interval estimates of reliability metrics . This is ...
viii. lappuse
... Metrics 2.1.1 Reliability Functions 2.1.2 Population Moments 2.1.3 Worked - Out Examples 64 64 68 71 2.2 Empirical Estimates of F ( t ) and Other Reliability Metrics : Use of Order Statistics 2.2.1 Naive Rank Estimator 2.2.2 Mean and ...
... Metrics 2.1.1 Reliability Functions 2.1.2 Population Moments 2.1.3 Worked - Out Examples 64 64 68 71 2.2 Empirical Estimates of F ( t ) and Other Reliability Metrics : Use of Order Statistics 2.2.1 Naive Rank Estimator 2.2.2 Mean and ...
xii. lappuse
... 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 Exponential Total Unit Time on Test Variable , T , Follows a Gamma 10 ...
... 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 Exponential Total Unit Time on Test Variable , T , Follows a Gamma 10 ...
14. lappuse
... metric . For a quadratic loss function , it is evaluated by E [ L ] = k · [ ( x − T ) 2ƒ ( x ) dx = k x population variance + ( μ − T ) 2 - bias2 ( 1.2 ) TABLE 1-3 Six Basic Approaches to Modeling Failure - Related 14 CHAPTER I VII VIII.
... metric . For a quadratic loss function , it is evaluated by E [ L ] = k · [ ( x − T ) 2ƒ ( x ) dx = k x population variance + ( μ − T ) 2 - bias2 ( 1.2 ) TABLE 1-3 Six Basic Approaches to Modeling Failure - Related 14 CHAPTER I VII VIII.
15. lappuse
... a continuous variate , T - denoting time - to - failure or other usage metric related to age , duty cycles - is perhaps the most widely used model for describing reliability over time . F ( t ) , the A MODERN VIEW OF RELIABILITY CONCEPTS ...
... a continuous variate , T - denoting time - to - failure or other usage metric related to age , duty cycles - is perhaps the most widely used model for describing reliability over time . F ( t ) , the A MODERN VIEW OF RELIABILITY CONCEPTS ...
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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