Series in Modern Applied Mathematics - Vol. 5
STOCHASTIC SYSTEM RELIABILITY MODELLING
by S Osaki (Hiroshima)
This book aims to present an overview of stochastic system reliability modeling for undergraduate and graduate students, engineers and researchers. It is ideal as a one-semester undergraduate or graduate level text in reliability, applied stochastic processes, stochastic operations research and systems engineering. The topics are divided into two parts: The first part deals with probability theory and stochastic processes, which provide the basic ideas of applied stochastic processes and the second part treats their applications to system reliability modelling. Throughout the later half, Markov renewal processes are applied to formulating stochastic models for system reliability. Since a fairly intermediate level of mathematics is assumed two appendices on Laplace-Stieltjes transforms and signal flow graphs provide much background material. The text is pedagogically sound.
Contents:
- Probability Theory
- Stochastic Processes
- Markov Renewal
Processes
- Stochastic Models for One-Unit Systems
- Stochastic Models for Two-Unit Redundant Systems
- Stochastic Models for Fault-Tolerant Computing Systems
Readership: Mathematical physicists and systems engineers.
"This book would be suitable as a textbook or as a reference source for an introductory course on reliability modelling. It is a worth-while addition to libraries serving upper level engineering students and practicing engineers. It offers excellent value for money and can be readily recommended for engineering collectors."
| Choice Magazine (USA), 1986 |
"This is a very good book, well-written and which fully achieves the aim fixed by the author."
Jacques Janssen
App. Stochastic Models & Data Analysis Journal, 1986 |
| 300pp |
Pub. date: Oct 1985 |
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