Reliability Models For Engineers And Scientists  at Meripustak

Reliability Models For Engineers And Scientists

Books from same Author: Mark P Kaminskiy

Books from same Publisher: Taylor and Francis

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  • General Information  
    Author(s)Mark P Kaminskiy
    PublisherTaylor and Francis
    Publish YearNovember 2012


    Taylor and Francis Reliability Models For Engineers And Scientists by Mark P Kaminskiy

    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 provide a wide scope of possible applications. The book also introduces a new concept of the Gini-type index, which when applied to aging/rejuvenating components (nonrepairable systems) can measure how different a given aging/rejuvenation distribution is compared to the exponential distribution. A similar index is then applied to aging/rejuvenating repairable systems, creating a bridge between the concepts. The chapters discuss models used in reliability, risk analysis, physics of failure, fracture mechanics, biological, pharmaceutical, and medical studies. They comprise an up-to-date, concise, and informative resource on reliability models, which does not require any special mathematical background. Features Introduces reliability models in a simple way focusing on their physical meaning Discusses new models not covered by other reliability and risk analysis books Provides a wide scope of possible applications Includes case studies Explores the aging/rejuvenation processes and introduces a new concept of the Gini-type index Table of Contents 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 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 Nonhomogeneous 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 Appendix A: Transformations of Random Variables Appendix B: Coherent Systems Appendix C: Uniform Distribution References and Bibliography Index