Point Processes for Reliability Analysis
Description
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.
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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.