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Springer Multi-state System Reliability Analysis and Optimization for Engineers and Industrial Managers

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Product Description This practically oriented book presents a comprehensive, up-to-date description of multi-state system (MSS) reliability as a natural extension of classical binary-state reliability. It presents all essential theoretical achievements in the field. Review MATLAB codes provided in the appendix of the book enhance its usefulness for a serious minded researcher who likes to go in depth into the study of MSS. The book is a stand alone resource and does not require any prior knowledge on the part of a reader. This feature is likely to be appreciated by beginners who are being initiated to MSS reliability analysis. This feature will be particularly useful to the practicing engineers and managers who do not have time to look around and search all the supporting resources. The reviewer feels that this book would also be found useful for researchers, students and teachers. Krishna B. Misra, International Journal of Performability Engineering From the Back Cover Multi-state System Reliability Analysis and Optimization for Engineers and Industrial Managers presents a comprehensive, up-to-date description of multi-state system (MSS) reliability as a natural extension of classical binary-state reliability. It presents all essential theoretical achievements in the field, but is also practically oriented. New theoretical issues are described, including: combined Markov and semi-Markov processes methods, and universal generating function techniques; statistical data processing for MSSs; reliability analysis of aging MSSs; methods for cost-reliability and cost-availability analysis of MSSs; and main definitions and concepts of fuzzy MSS. Multi-state System Reliability Analysis and Optimization for Engineers and Industrial Managers also discusses life cycle cost analysis and practical optimal decision making for real world MSSs. Numerous examples are included in each section in order to illustrate mathematical tools. Besides these examples, real world MSSs (such as power generating and transmission systems, air-conditioning systems, production systems, etc.) are considered as case studies. Multi-state System Reliability Analysis and Optimization for Engineers and Industrial Managers also describes basic concepts of MSS, MSS reliability measures and tools for MSS reliability assessment and optimization. It is a self-contained study resource and does not require prior knowledge from its readers, making the book attractive for researchers as well as for practical engineers and industrial managers. About the Author Anatoly Lisnianski is the author and co-author of more than 80 scientific papers, one book and 3 book chapters. He has more than 30 years of experience in the fields of reliability, maintainability and risk analysis, both in industry and academia. Dr Lisnianski received his MSc degree in Electrical Engineering from the State University of Information Technology, Precision Mechanics and Optics, Sankt-Petersburg, Russia, in 1975 and his PhD degree in Reliability from the Federal Scientific & Production Centre "Aurora" in Sankt-Petersburg, Russia, where he was working from 1975 till 1989. Since 1991 he has been an expert engineer in the Planning, Development & Technology Division, Reliability Department, of The Israel Electric Corporation Ltd. He is also a scientific supervisor of the Centre for Reliability and Risk Management in the Sami Shamoon College of Engineering, Beer Sheva, Israel and senior lecturer at Haifa University. Ilia Frenkel is the author and co-author of more than 30 scientific publications. He has more than 35 years of experience in academia and industry in the fields of operational research, reliability and statistical quality control. Dr Frenkel received his MSc degree in Applied Mathematics from Voronezh State University, Russia, and his PhD degree in Operational Research and Computer Science, Institute of Economy, Ukrainian Academy of Science, formerly USS

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
04 November 2014
Listed Since
04 November 2014

Barcode

No barcode data available

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