Point Processes for Reliability Analysis: Shocks and Repairable Systems(Springer Series in Reliability Engineering)

Focusing on the theory and applications of point processes, Point Processes for Reliability Analysis naturally combines classical results on the basic and advanced properties of point processes with recent theoretical findings of the authors. It also presents numerous examples that illustrate how general results and approaches are applied to stochastic description of repairable systems and systems operating in a random environment modelled by shock processes.   The real life objects are operating in a changing, random environment. One of the ways to model an impact of this environment is via the external shocks occurring in accordance with some stochastic point processes. The Poisson (homogeneous and nonhomogeneous) process, the renewal process and their generalizations are considered as models for external shocks affecting an operating system. At the same time these processes model the consecutive failure/repair times of repairable engineering systems. Perfect, minimaland intermediate (imperfect) repairs are discussed in this respect.  Covering material previously available only in the journal literature, Point Processes for Reliability Analysis provides a survey of recent developments in this area which will be invaluable to researchers and advanced students in reliability engineering and applied mathematics.

Table of Contents:
Introduction.- Preliminaries: Reliability and Point Processes.- Renewal Processes and Applications.- Poisson Process.- Advanced Poisson Shock Models.- Advanced Poisson Shock Models.- Generalizations of Renewal Process.- Generalized Polya Process.- Applications of the Generalized Polya Process.- Multivariate Generalized Polya Process.- Applications of the Mixed Poisson Process.- Shocks as the Discrete Scale.

About the Author :
Dr. Ji Hwan Cha received his B.S. degree in Computer Science and Statistics from Seoul National University, Korea, in 1993 and his M.S. and Ph.D. degrees in Statistics from Seoul National University in 1995 and 1999, respectively. He is a Professor at the Department of Statistics and Ewha Fellow (similar to “Distinguished Professor”), Ewha Womans University, Seoul, Korea. He is an Associate Editor of Journal of the Korean Statistical Society. He has published more than 70 papers in various international journals and two books on Introductory Statistics and Reliability Theory, respectively (in Korean). His research interests include applied probability, reliability theory, stochastic processes, survival analysis, multivariate distribution theory, life insurance, demography, operations research, management science. His book “Stochastic modelling for reliability: Shocks, burn-in and heterogeneous populations” (co-authored with Dr. Finkelstein) was published by Springer in 2013. Dr. Maxim Finkelstein received his M.Sc in Mathematical Physics from Leningrad State University (1971), Ph.D in OR from Leningrad Elektropribor Institute, 1979 and Doctor of Science (habilitation) in OR from St.-Petersburg Elektropribor Institute (1993). From 1971 till 1998 he was with the Saint Petersburg Elektropribor Institute (the leading Russian company in the field of navigation and control systems).Currently he is a Distinguished Professor at the Department of Mathematical Statistics, University of the Free State, Republic of South Africa  and a visiting professor at the Max Planck Institute for Demographic Research, Rostock, Germany and at the ITMO University, St. Petersburg, Russia. His more than 40 years of professional experience combines academic skills and expertise with those of a researcher in industry. This combination is very helpful for this book.His main research interests are: reliabilitytheory and applications, survival analysis, risk and safety modelling, applied stochastic processes.He has published more than 180 papers and 5 books on different aspects of reliability and stochastics. His last two books “Failure rate modelling for reliability and risk” and “Stochastic modelling for reliability: Shocks, burn-in and heterogeneous populations” (co-authored with Dr. Cha) were published by Springer in 2008 and 2013, respectively.