- Series: Springer Series in Reliability Engineering (Book 1)
- Hardcover: 320 pages
- Publisher: Springer; 2012 edition (September 30, 2011)
- Language: English
- ISBN-10: 1447122062
- ISBN-13: 978-1447122067
- Product Dimensions: 6.1 x 0.9 x 9.2 inches
- Shipping Weight: 1.3 pounds (View shipping rates and policies)
- Average Customer Review: Be the first to review this item
- Amazon Best Sellers Rank: #16,322,515 in Books (See Top 100 in Books)
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Recent Advances in System Reliability: Signatures, Multi-state Systems and Statistical Inference (Springer Series in Reliability Engineering) 2012th Edition
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From the reviews:“Both the title, Recent Advances in System Reliability, and the subtitle, Signatures, Multi-state Systems and Statistical Inference, provide excellent descriptions of this book, which comprises 22 chapters contributed by 42 coauthors from 18 countries. … academic, doctoral, and industrial researchers in the field of system reliability are likely to find the content informative and helpful. … it is a comprehensive and authoritative guide to some of the latest developments in system reliability modeling and analysis.” (David F. Percy, Interfaces, Vol. 43 (4), July-August, 2013)
From the Back Cover
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.
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