Reliability Methods for Engineers
This is a compendium of proven reliability methods presented in easily understood language. Part I is devoted to the basic principles of probability and statistics, Part II discusses the different distributions, and Part III discusses reliability test planning.
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Random Variables and Distributions
Statistical Methods for Inference
Reliability Prediction Estimation and Apportionment
10 other sections not shown
20 percent Accept-reject criteria Total average binomial distribution chi-squared components computed confidence interval constant failure rate continuous random variable criteria Total test critical region discrete random variable Duane plot early failures Environmental Stress Screening equipment event Example Solution exponential distribution EXPRESSED AS MULTIPLES failed failure rate curve Find given graph hazard plot Hazard Value hypothesis independent known LIMIT PERCENT lower confidence limit LOWER TEST MTBF mean MIL-HDBK-781 Figure minimum MTBF MTTF MULTIPLES OF 0O MULTIPLES OF LOWER normal distribution number of failures observed obtained OC CURVE P(Syst parameter point estimate Poisson Poisson distribution population probability Reject at tR reject H0 reliabil Reliability Engineering reliability goals reliability test runout sample space sample units sequential test shown in Figure standard deviation Standardized Termination subsystems summation of operating Table Test Plan test statistic theorem tion TRUE MTBF EXPRESSED variance wearout Weibull distribution