Recent advances in system reliability : signatures, multi-state systems and statistical inference /
<p><i>Recent Advances in System Reliability</i> 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 reliabili...
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Corporate Author: | |
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Other Authors: | , |
Format: | eBook |
Language: | English |
Published: |
London
Springer London
2012.
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Series: | Springer series in reliability engineering
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Subjects: | |
Online Access: | Click here to view the full text content |
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Summary: | <p><i>Recent Advances in System Reliability</i> 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.</p><p>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:</p><ul><li>concepts and different definitions of signatures (D-spectra), their properties and applications to reliability of coherent systems and network-type structures;</li><li>Lz-transform of Markov stochastic process and its application to multi-state system reliability analysis;</li><li>methods for cost-reliability and cost-availability analysis of multi-state systems;</li><li>optimal replacement and protection strategy; and</li><li>statistical inference.</li></ul><p><i>Recent Advances in System Reliability</i> 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.</p> |
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Physical Description: | 1 online resource (XV, 319 pages) 65 illustration., 1 illustration. in colour. digital. |
ISBN: | 9781447122074 |
ISSN: | 1614-7839 |