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Reliability Theory with Applications to Preventive Maintenance

Ilya Gertsbakh, 2000, Springer-Verlag, 219 pp., hardbound.

Reliability Theory with Applications to Preventive Maintenance
is a textbook on reliability theory that is appropriate for graduate students, researchers and engineers specializing in quality control, logistics, reliability, and maintenance engineering. The text focuses on applications in preventive maintenance (PM). All models are presented in connection with the relevant statistical material. Each chapter is concluded by a series of exercises with detailed solutions using Mathematica. Topics discussed are PM with learning, choice of the best time scale for PM, handling multidimensional state description, and dealing with uncertainty in data. 

Chapters include: System Reliability as a Function of Component Reliability; Parametric Lifetime Distributions; Statistical inference from Incomplete Data; Preventive Maintenance Models Based on the Lifetime Distribution; Preventive Maintenance Based on Parameter Control; Best Time Scale for Age Replacement; Preventive Maintenance with Learning; Solutions to Exercises; Appendix A: Nonhomogeneous Poisson Process; Appendix B: Covariances and Means of Order Statistics; Appendix C: The Laplace Transform; Appendix D: Probability Paper; Appendix E: Renewal Function.

This book is available from The Mathematica Bookstore.

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