Handbook of Reliability Engineering
(Sprache: Englisch)
An effective reliability programme is an essential component of every product's design, testing and efficient production. From the failure analysis of a microelectronic device to software fault tolerance and from the accelerated life testing of mechanical...
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An effective reliability programme is an essential component of every product's design, testing and efficient production. From the failure analysis of a microelectronic device to software fault tolerance and from the accelerated life testing of mechanical components to hardware verification, a common underlying philosophy of reliability applies. Defining both fundamental and applied work across the entire systems reliability arena, this state-of-the-art reference presents methodologies for quality, maintainability and dependability. Featuring: Contributions from 60 leading reliability experts in academia and industry giving comprehensive and authoritative coverage. A distinguished international Editorial Board ensuring clarity and precision throughout. Extensive references to the theoretical foundations, recent research and future directions described in each chapter. Comprehensive subject index providing maximum utility to the reader. Applications and examples across all branches of engineering including IT, power, automotive and aerospace sectors. The handbook's cross-disciplinary scope will ensure that it serves as an indispensable tool for researchers in industrial, electrical, electronics, computer, civil, mechanical and systems engineering. It will also aid professional engineers to find creative reliability solutions and management to evaluate systems reliability and to improve processes. For student research projects it will be the ideal starting point whether addressing basic questions in communications and electronics or learning advanced applications in micro-electro-mechanical systems (MEMS), manufacturing and high-assurance engineering systems.
Inhaltsverzeichnis zu „Handbook of Reliability Engineering “
System Reliability and Optimization.- Multi-state k-out-of-n Systems.- Reliability of Systems with Multiple Failure Modes.- Reliabilities of Consecutive-k Systems.- Multi-state System Reliability Analysis and Optimization (Universal Generating Function and Genetic Algorithm Approach).- Combinatorial Reliability Optimization.- Statistical Reliability Theory.- Modeling the Observed Failure Rate.- Concepts of Stochastic Dependence in Reliability Analysis.- Statistical Reliability Change-point Estimation Models.- Concepts and Applications of Stochastic Aging in Reliability.- Class of NBU-t0 Life Distribution.- Software Reliability.- Software Reliability Models: A Selective Survey and New Directions.- Software Reliability Modeling.- Software Availability Theory and Its Applications.- Software Rejuvenation: Modeling and Applications.- Software Reliability Management: Techniques and Applications.- Recent Studies in Software Reliability Engineering.- Maintenance Theory and Testing.- Warranty and Maintenance.- Mechanical Reliability and Maintenance Models.- Preventive Maintenance Models: Replacement, Repair, Ordering, and Inspection.- Maintenance and Optimum Policy.- Optimal Imperfect Maintenance Models.- Accelerated Life Testing.- Accelerated Test Models with the Birnbaum-Saunders Distribution.- Multiple-steps Step-stress Accelerated Life Test.- Step-stress Accelerated Life Testing.- Practices and Emerging Applications.- Statistical Methods for Reliability Data Analysis.- The Application of Capture-Recapture Methods in Reliability Studies.- Reliability of Electric Power Systems: An Overview.- Human and Medical Device Reliability.- Probabilistic Risk Assessment.- Total Dependability Management.- Total Quality for Software Engineering Management.- Software Fault Tolerance.- Markovian Dependability/Performability Modeling of Fault-tolerant Systems.- Random-request Availability.
Bibliographische Angaben
- 2014, Softcover reprint of the original 1st ed. 2003, XXXI, 663 Seiten, 1539 farbige Abbildungen, Maße: 20,3 x 25,6 cm, Kartoniert (TB), Englisch
- Herausgegeben: Hoang Pham
- Verlag: Springer, Berlin
- ISBN-10: 1447139399
- ISBN-13: 9781447139393
Sprache:
Englisch
Pressezitat
From the reviews: [T]here are some new topics included in the Handbook which make it a valuable addition to the literature and the reviewer would like to recommend the Handbook to practitioners and serious minded students and teachers." (Krisnha B. Misra, International Journal of Performability Engineering, Vol. 3, (3), 2007)
"Organised into 35 chapters written by 45 experts in the relevant fields, this handbook gives a very broad overview into important areas within reliability. Each chapter describes a number of different methods in use and many conclude with a discussion of open problems. All contain a long list of references to the scientific literature. ... this book is well worth getting as a reference volume in your library, and provides an excellent way of getting new researchers up to speed! (Tim Bedford, ESRA Newsletter, January, 2005)
"This Handbook of Reliability Engineering, altogether 35 chapters, aims to provide a comprehensive state-of-the-art reference volume that covers both fundamental and theoretical work in the areas of reliability ... . The handbook's cross-disciplinary scope ensures that it serves as an indispensable tool for researchers in industrial, electrical, electronics, computer, civil, mechanical and systems engineering. ... they all will be forced to take into account the excellent contributions appearing in this Handbook of Reliability Engineering." (Current Engineering Practice - online, Vol. 47, 2004/2005)
"The book ... contains all the latest developments in concepts and the state-of-the-art techniques about reliability ... . This book has thirty-five well-written excellent chapters by sixty leading authorities ... . A reader, whether new to reliability concepts and techniques or a reasonably well-versed expert in reliability topics, should consider having this thought provoking book ... . All reliabilists, professional engineers, medical and health researchers, graduate students
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andprofessors, industrial statisticians, numerical mathematicians, and software engineers would benefit greatly by reading ... this book." (Ramalingam Shanmugam, Journal of Statistical Computation and Simulation, Vol. 75 (6), 2005)
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