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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.

Reliability (Engineering). --- Reliability (Engineering) --- Chemical & Materials Engineering --- Mechanical Engineering --- Engineering & Applied Sciences --- Materials Science --- Technology - General --- Industrial & Management Engineering --- System safety. --- Safety, System --- Safety of systems --- Systems safety --- Reliability of equipment --- Systems reliability --- Engineering. --- Production management. --- Probabilities. --- Quality control. --- Reliability. --- Industrial safety. --- Quality Control, Reliability, Safety and Risk. --- Probability Theory and Stochastic Processes. --- Operations Management. --- Accidents --- Industrial safety --- Systems engineering --- Engineering --- Maintainability (Engineering) --- Probabilities --- Plant performance --- Safety factor in engineering --- Structural failures --- Prevention --- Distribution (Probability theory. --- Manufacturing management --- Industrial management --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Industrial accidents --- Industries --- Job safety --- Occupational hazards, Prevention of --- Occupational health and safety --- Occupational safety and health --- Prevention of industrial accidents --- Prevention of occupational hazards --- Safety, Industrial --- Safety engineering --- Safety measures --- Safety of workers --- System safety --- Dependability --- Trustworthiness --- Conduct of life --- Factory management --- Industrial engineering --- Sampling (Statistics) --- Standardization --- Quality assurance --- Quality of products

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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.

Engineering. --- Reliability (Engineering) -- Handbooks, manuals, etc. --- Reliability (Engineering). --- Reliability (Engineering) --- Chemical & Materials Engineering --- Mechanical Engineering --- Engineering & Applied Sciences --- Industrial & Management Engineering --- Materials Science --- Technology - General --- Statistical methods --- Reliability of equipment --- Systems reliability --- Production management. --- Probabilities. --- Computational intelligence. --- Engineering economics. --- Engineering economy. --- Quality control. --- Reliability. --- Industrial safety. --- Quality Control, Reliability, Safety and Risk. --- Operations Management. --- Probability Theory and Stochastic Processes. --- Computational Intelligence. --- Engineering Economics, Organization, Logistics, Marketing. --- Industrial accidents --- Industries --- Job safety --- Occupational hazards, Prevention of --- Occupational health and safety --- Occupational safety and health --- Prevention of industrial accidents --- Prevention of occupational hazards --- Safety, Industrial --- Safety engineering --- Safety measures --- Safety of workers --- Accidents --- System safety --- Dependability --- Trustworthiness --- Conduct of life --- Factory management --- Industrial engineering --- Sampling (Statistics) --- Standardization --- Quality assurance --- Quality of products --- Economy, Engineering --- Engineering economics --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Manufacturing management --- Industrial management --- Construction --- Industrial arts --- Technology --- Prevention --- Engineering --- Maintainability (Engineering) --- Probabilities --- Systems engineering --- Plant performance --- Safety factor in engineering --- Structural failures --- System safety. --- Distribution (Probability theory. --- Distribution functions --- Frequency distribution --- Characteristic functions --- Safety, System --- Safety of systems --- Systems safety --- Industrial safety

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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.

Operational research. Game theory --- Production management --- stochastische analyse --- kwaliteitscontrole --- kansrekening

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This book addresses a modern topic in reliability: multi-state and continuous-state system reliability, which has been intensively developed in recent years. It offers an up-to-date overview of the latest developments in reliability theory for multi-state systems, engineering applications to a variety of technical problems, and case studies that will be of interest to reliability engineers and industrial managers. It also covers corresponding theoretical issues, as well as case studies illustrating the applications of the corresponding theoretical advances. The book is divided into two parts: Modern Mathematical Methods for Multi-state System Reliability Analysis (Part 1), and Applications and Case Studies (Part 2), which examines real-world multi-state systems. It will greatly benefit scientists and researchers working in reliability, as well as practitioners and managers with an interest in reliability and performability analysis. It can also be used as a textbook or as a supporting text for postgraduate courses in Industrial Engineering, Electrical Engineering, Mechanical Engineering, Applied Mathematics, and Operations Research.

Operational research. Game theory --- Probability theory --- Mathematics --- Applied physical engineering --- Engineering sciences. Technology --- Plant and equipment --- Production management --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- fabrieken --- waarschijnlijkheidstheorie --- stochastische analyse --- economie --- productie --- wiskunde --- machines --- kwaliteitscontrole --- ingenieurswetenschappen --- kansrekening

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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.

Operational research. Game theory --- Probability theory --- Mathematics --- Applied physical engineering --- Engineering sciences. Technology --- Production management --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- waarschijnlijkheidstheorie --- stochastische analyse --- veiligheid (mensen) --- economie --- wiskunde --- ingenieurswetenschappen --- kansrekening