Modern Dynamic Reliability Analysis for Multi-state Systems - Anatoly Lisnianski, Ilia Frenkel, Lev Khvatskin

Modern Dynamic Reliability Analysis for Multi-state Systems

Stochastic Processes and the Lz-Transform
Buch | Hardcover
XIV, 184 Seiten
2020 | 1st ed. 2021
Springer International Publishing (Verlag)
978-3-030-52487-6 (ISBN)
192,59 inkl. MwSt

This book discusses recent developments in dynamic reliability in multi-state systems (MSS), addressing such important issues as reliability and availability analysis of aging MSS, the impact of initial conditions on MSS reliability and availability, changing importance of components over time in MSS with aging components, and the determination of age-replacement policies. It also describes modifications of traditional methods, such as Markov processes with rewards, as well as a modern mathematical method based on the extended universal generating function technique, the Lz-transform, presenting various successful applications and demonstrating their use in real-world problems.

This book provides theoretical insights, information on practical applications, and real-world case studies that are of interest to engineers and industrial managers as well as researchers. It also serves as a textbook or supporting text for graduate and postgraduate courses in industrial, electrical, and mechanical engineering.

Dr. Anatoly Lisnianski is a Senior Engineering Expert at the Reliability Department of the Israel Electric Corporation Ltd., Israel, and Scientific Supervisor of the Centre for Reliability and Risk Management at the SCE - Shamoon College of Engineering, Beer Sheva, Israel. He holds a M.Sc. degree in Electrical Engineering from the University of Information Technology, Mechanics and Optics, St. Petersburg, Russia, and a Ph.D. degree in Reliability from the Federal Scientific & Production Centre "Aurora" in Sankt Petersburg, Russia, and was a Senior Researcher there from 1975 to 1989. In 1991 he began working in the Reliability department of the Israel Electric Corporation. He is the author and a co-author of more than 200 research papers, four books, several book's chapters and inventions in the field of reliability and applied statistics. He is a senior member of IEEE and a member of the Israel Statistical Association.

General Concepts and Theoretical Background.- Industrial Multi-state Systems (MSS) and Dynamic Reliability Analysis.- Modern Stochastic Processes Methods for Dynamic MSS Reliability Assessment.- LZ-transform and Extended Universal Generating Function (UGF) Technique.-Applications and Real-world Case Studies.- Short-term Availability and Reliability Analysis for Power Systems.- The Lz-Transform and the Markov Reward Approaches for the Reliability Assessment of Ship's Traction Drives.- Availability Determination for MSS Cold Water Supply System.- Availability Analysis for Aging Air Conditioning Systems.- Sensitivity and Importance Analysis of Aging MSS Water Cooling System for Magnetic Resonance Inspection Plant.

"This book is recommended to researchers and practical engineers interested in reliability, availability and performability analysis in multi-state systems. The volume is well suited as a complementary textbook for graduate courses in applied mathematics and in various areas of engineering." (Antonio Di Crescenzo, Mathematical Reviews, July, 2022)

“This book is recommended to researchers and practical engineers interested in reliability, availability and performability analysis in multi-state systems. The volume is well suited as a complementary textbook for graduate courses in applied mathematics and in various areas of engineering.” (Antonio Di Crescenzo, Mathematical Reviews, July, 2022)

Erscheinungsdatum
Reihe/Serie Springer Series in Reliability Engineering
Zusatzinfo XIV, 184 p. 66 illus., 12 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 403 g
Themenwelt Naturwissenschaften Physik / Astronomie
Technik Bauwesen
Technik Maschinenbau
Schlagworte Lz-transform • multi-state system • Quality Control, Reliability, Safety and Risk • Reliability • Stochastic process • universal generating function
ISBN-10 3-030-52487-6 / 3030524876
ISBN-13 978-3-030-52487-6 / 9783030524876
Zustand Neuware
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