Recent Advances in System Reliability
Signatures, Multi-state Systems and Statistical Inference
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Part of the Springer Series in Reliability Engineering book series (RELIABILITY)
Table of contents
About this book
Introduction
Recent Advances in System Reliability discusses developments in modern reliability theory such as signatures, multi-state systems and statistical inference. It describes the latest achievements in these fields, and covers the application of these achievements to reliability engineering practice.
The chapters cover a wide range of new theoretical subjects and have been written by leading experts in reliability theory and its applications. The topics include:
- concepts and different definitions of signatures (D-spectra), their properties and applications to reliability of coherent systems and network-type structures;
- Lz-transform of Markov stochastic process and its application to multi-state system reliability analysis;
- methods for cost-reliability and cost-availability analysis of multi-state systems;
- optimal replacement and protection strategy; and
- statistical inference.
Recent Advances in System Reliability presents many examples to illustrate the theoretical results. Real world multi-state systems, such as power generation and transmission, refrigeration, and production systems, are considered in the form of case studies, making the book a useful resource for researchers and postgraduate students.
Keywords
Coherent System Coherent System Markov Reward Process Markov Reward Process Multi-state System Reliability Multi-state System Reliability Random Process Random Process Statistical Inference Statistical Inference Stochastic Process Stochastic Process
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Bibliographic information
- DOI https://doi.org/10.1007/978-1-4471-2207-4
- Copyright Information Springer-Verlag London Limited 2012
- Publisher Name Springer, London
- eBook Packages Engineering
- Print ISBN 978-1-4471-2206-7
- Online ISBN 978-1-4471-2207-4
- Series Print ISSN 1614-7839
- About this book