Recent Advances in System Reliability
Signatures, Multi-state Systems and Statistical Inference
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Beschreibung
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.
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.
Includes practical case studies Gives an up-to-date presentation of the recent developments in reliability theory based on a range of theoretical achievements Describes engineering applications to a variety of technical problems Includes supplementary material: sn.pub/extras
Autor*in
Anatoly Lisnianski
Themen in »Recent Advances in System Reliability«
Coherent System Markov Reward Process Multi-state System Reliability Random Process Statistical Inference Stochastic Process quality control, reliability, safety and risk
Stimmen zu »Recent Advances in System Reliability«
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)()