Stochastic Models In Reliability Engineering
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Stochastic Models In Reliability
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Author : Terje Aven
language : en
Publisher: Springer Science & Business Media
Release Date : 1999-03-04
Stochastic Models In Reliability written by Terje Aven and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-03-04 with Mathematics categories.
A comprehensive up-to-date presentation of some of the classical areas of reliability, based on a more advanced probabilistic framework using the modern theory of stochastic processes. This framework allows analysts to formulate general failure models, establish formulae for computing various performance measures, as well as determine how to identify optimal replacement policies in complex situations.
Stochastic Models In Reliability Engineering
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Author : Lirong Cui
language : en
Publisher: CRC Press
Release Date : 2020-07-29
Stochastic Models In Reliability Engineering written by Lirong Cui and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-29 with Mathematics categories.
This book is a collective work by many leading scientists, analysts, mathematicians, and engineers who have been working at the front end of reliability science and engineering. The book covers conventional and contemporary topics in reliability science, all of which have seen extended research activities in recent years. The methods presented in this book are real-world examples that demonstrate improvements in essential reliability and availability for industrial equipment such as medical magnetic resonance imaging, power systems, traction drives for a search and rescue helicopter, and air conditioning systems. The book presents real case studies of redundant multi-state air conditioning systems for chemical laboratories and covers assessments of reliability and fault tolerance and availability calculations. Conventional and contemporary topics in reliability engineering are discussed, including degradation, networks, dynamic reliability, resilience, and multi-state systems, all of which are relatively new topics to the field. The book is aimed at engineers and scientists, as well as postgraduate students involved in reliability design, analysis, experiments, and applied probability and statistics.
Stochastic Modeling For Reliability
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Author : Maxim Finkelstein
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-12
Stochastic Modeling For Reliability written by Maxim Finkelstein and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-12 with Science categories.
Focusing on shocks modeling, burn-in and heterogeneous populations, Stochastic Modeling for Reliability naturally combines these three topics in the unified stochastic framework and presents numerous practical examples that illustrate recent theoretical findings of the authors. The populations of manufactured items in industry are usually heterogeneous. However, the conventional reliability analysis is performed under the implicit assumption of homogeneity, which can result in distortion of the corresponding reliability indices and various misconceptions. Stochastic Modeling for Reliability fills this gap and presents the basics and further developments of reliability theory for heterogeneous populations. Specifically, the authors consider burn-in as a method of elimination of ‘weak’ items from heterogeneous populations. The real life objects are operating in a changing environment. One of the ways to model an impact of this environment is via the external shocks occurring in accordance with some stochastic point processes. The basic theory for Poisson shock processes is developed and also shocks as a method of burn-in and of the environmental stress screening for manufactured items areconsidered. Stochastic Modeling for Reliability introduces and explores the concept of burn-in in heterogeneous populations and its recent development, providing a sound reference for reliability engineers, applied mathematicians, product managers and manufacturers alike.
Discrete Stochastic Models And Applications For Reliability Engineering And Statistical Quality Control
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Author : Serkan Eryilmaz
language : en
Publisher: CRC Press
Release Date : 2022-09-07
Discrete Stochastic Models And Applications For Reliability Engineering And Statistical Quality Control written by Serkan Eryilmaz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-07 with Mathematics categories.
Discrete stochastic models are tools that allow us to understand, control, and optimize engineering systems and processes. This book provides real-life examples and illustrations of models in reliability engineering and statistical quality control and establishes a connection between the theoretical framework and their engineering applications. The book describes discrete stochastic models along with real-life examples and explores not only well-known models, but also comparatively lesser known ones. It includes definitions, concepts, and methods with a clear understanding of their use in reliability engineering and statistical quality control fields. Also covered are the recent advances and established connections between the theoretical framework of discrete stochastic models and their engineering applications. An ideal reference for researchers in academia and graduate students working in the fields of operations research, reliability engineering, quality control, and probability and statistics.
Stochastic Models In Reliability And Maintenance
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Author : Shunji Osaki
language : en
Publisher: Springer Science & Business Media
Release Date : 2002-04
Stochastic Models In Reliability And Maintenance written by Shunji Osaki and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-04 with Business & Economics categories.
This book contains 12 contributions on stochastic models in reliability and maintenance. Written by the leading researchers on each topic, each contribution surveys the current status on stochastic models emphasizing mathematical formulation and optimization applications. Each contribution is self-contained and has a thorough bibliography. The topics include renewal processes, semi-Markov processes, Markovian deterioration models, maintenance and replacement models, software reliability models and Monte-Carlo simulation. This book provides researchers, reliability engineers and graduate students with the current status of the field and future developments of the subject.
Stochastic Reliability Modeling Optimization And Applications
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Author : Syouji Nakamura
language : en
Publisher: World Scientific
Release Date : 2010
Stochastic Reliability Modeling Optimization And Applications written by Syouji Nakamura and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Mathematics categories.
1. Multistate coherent systems / Fumio Ohi -- 2. Cumulative damage models / Takashi Satow -- 3. Extended inspection models / Satoshi Mizutani -- 4. Stochastic analyses for hybrid state saving and its experimental validation / Mamoru Ohara, Masayuki Arai and Satoshi Fukumoto -- 5. Reliability analysis of a system connected with networks / Mitsuhiro Imaizumi -- 6. Reliability analysis of communication systems / Mitsutaka Kimura -- 7. Backup policies for a database system / Cun-Hua Qian -- 8. Optimal checkpoint intervals for computer systems / Kenichiro Naruse and Sayori Maeji -- 9. Maintenance models of miscellaneous systems / Kodo Ito -- 10. Management policies for stochastic models with monetary facilities / Syouji Nakamura.
Stochastic Models In Reliability
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Author : U. Jensen
language : en
Publisher:
Release Date : 1997
Stochastic Models In Reliability written by U. Jensen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with categories.
Estimation Of Some Stochastic Models Used In Reliability Engineering
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Author : Tapio Huovinen
language : en
Publisher:
Release Date : 1989
Estimation Of Some Stochastic Models Used In Reliability Engineering written by Tapio Huovinen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Reliability (Engineering) categories.
Seloste.
Data Driven Remaining Useful Life Prognosis Techniques
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Author : Xiao-Sheng Si
language : en
Publisher: Springer
Release Date : 2017-01-20
Data Driven Remaining Useful Life Prognosis Techniques written by Xiao-Sheng Si and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-20 with Technology & Engineering categories.
This book introduces data-driven remaining useful life prognosis techniques, and shows how to utilize the condition monitoring data to predict the remaining useful life of stochastic degrading systems and to schedule maintenance and logistics plans. It is also the first book that describes the basic data-driven remaining useful life prognosis theory systematically and in detail. The emphasis of the book is on the stochastic models, methods and applications employed in remaining useful life prognosis. It includes a wealth of degradation monitoring experiment data, practical prognosis methods for remaining useful life in various cases, and a series of applications incorporated into prognostic information in decision-making, such as maintenance-related decisions and ordering spare parts. It also highlights the latest advances in data-driven remaining useful life prognosis techniques, especially in the contexts of adaptive prognosis for linear stochastic degrading systems, nonlinear degradation modeling based prognosis, residual storage life prognosis, and prognostic information-based decision-making.
Stochastic Processes
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Author : Toshio Nakagawa
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-05-27
Stochastic Processes written by Toshio Nakagawa and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-27 with Science categories.
Reliability theory is of fundamental importance for engineers and managers involved in the manufacture of high-quality products and the design of reliable systems. In order to make sense of the theory, however, and to apply it to real systems, an understanding of the basic stochastic processes is indispensable. As well as providing readers with useful reliability studies and applications, Stochastic Processes also gives a basic treatment of such stochastic processes as: the Poisson process, the renewal process, the Markov chain, the Markov process, and the Markov renewal process. Many examples are cited from reliability models to show the reader how to apply stochastic processes. Furthermore, Stochastic Processes gives a simple introduction to other stochastic processes such as the cumulative process, the Wiener process, the Brownian motion and reliability applications. Stochastic Processes is suitable for use as a reliability textbook by advanced undergraduate and graduate students. It is also of interest to researchers, engineers and managers who study or practise reliability and maintenance.