A discussion of the basic reliability concepts and models, Reliability Models for Engineers and Scientists demystifies modern mathematical reliability models. Requiring very little mathematical background on the reader's part, this concise book introduces the models by focusing on their physical meaning and the supporting data; it then goes on to p
Time to Failure Distributions and Reliability Measures: Probability Density and Cumulative Distribution Functions. Conditional Reliability, Failure Rate, Cumulative Failure Rate and Average Failure Rate. Reliability Measures. Problems. Probabilistic Models for Nonrepairable Objects: Shock models and component life distributions. Classes of Aging/Rejuvenating Distributions and Their Properties. Models with Explanatory Variables. Probabilistic Models for Repairable Objects: Point Processes as Model for Repairable Systems Failure Processes. Homogeneous Poisson Process as a Simplest Failure-Repair Model. Renewal Process: "as Good as New" Repair Model. Non-Homogeneous Poisson Process: "as Good as Old" Repair Model. Generalized Renewal Process. Inequalities for reliability measures and characteristics for Renewal and Generalized Renewal Processes. Geometric Process: Adding the "Better Than New" Repair. Gini-Type Index for Aging/Rejuvenating Processes. Appendices. References.