Stochastic Models In Reliability Engineering

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Stochastic Models in Reliability Engineering

Lirong Cui,Ilia Frenkel,Anatoly Lisnianski
Stochastic Models in Reliability Engineering Book PDF

Author : Lirong Cui,Ilia Frenkel,Anatoly Lisnianski
Publisher : CRC Press
Page : 376 pages
File Size : 43,7 Mb
Release : 2020-09-01
Category : Mathematics
ISBN : 9781000094619

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Stochastic Models in Reliability Engineering by Lirong Cui,Ilia Frenkel,Anatoly Lisnianski Pdf

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, and 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, and experiments and applied probability and statistics.

Stochastic Models in Reliability and Maintenance

Shunji Osaki
Stochastic Models in Reliability and Maintenance Book PDF

Author : Shunji Osaki
Publisher : Springer Science & Business Media
Page : 338 pages
File Size : 46,8 Mb
Release : 2012-11-02
Category : Mathematics
ISBN : 9783540248088

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Stochastic Models in Reliability and Maintenance by Shunji Osaki Pdf

Our daily lives can be maintained by the high-technology systems. Computer systems are typical examples of such systems. We can enjoy our modern lives by using many computer systems. Much more importantly, we have to maintain such systems without failure, but cannot predict when such systems will fail and how to fix such systems without delay. A stochastic process is a set of outcomes of a random experiment indexed by time, and is one of the key tools needed to analyze the future behavior quantitatively. Reliability and maintainability technologies are of great interest and importance to the maintenance of such systems. Many mathematical models have been and will be proposed to describe reliability and maintainability systems by using the stochastic processes. The theme of this book is "Stochastic Models in Reliability and Main tainability. " This book consists of 12 chapters on the theme above from the different viewpoints of stochastic modeling. Chapter 1 is devoted to "Renewal Processes," under which classical renewal theory is surveyed and computa tional methods are described. Chapter 2 discusses "Stochastic Orders," and in it some definitions and concepts on stochastic orders are described and ag ing properties can be characterized by stochastic orders. Chapter 3 is devoted to "Classical Maintenance Models," under which the so-called age, block and other replacement models are surveyed. Chapter 4 discusses "Modeling Plant Maintenance," describing how maintenance practice can be carried out for plant maintenance.

Stochastic Models in Reliability

Terje Aven,Uwe Jensen
Stochastic Models in Reliability Book PDF

Author : Terje Aven,Uwe Jensen
Publisher : Springer Science & Business Media
Page : 271 pages
File Size : 50,8 Mb
Release : 2008-01-08
Category : Mathematics
ISBN : 9780387225937

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Stochastic Models in Reliability by Terje Aven,Uwe Jensen Pdf

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 Modeling for Reliability

Maxim Finkelstein,Ji Hwan Cha
Stochastic Modeling for Reliability Book PDF

Author : Maxim Finkelstein,Ji Hwan Cha
Publisher : Springer Science & Business Media
Page : 397 pages
File Size : 52,9 Mb
Release : 2013-04-12
Category : Technology & Engineering
ISBN : 9781447150282

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Stochastic Modeling for Reliability by Maxim Finkelstein,Ji Hwan Cha Pdf

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 are considered. 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.

Stochastic Reliability Modeling, Optimization and Applications

Syouji Nakamura,Toshio Nakagawa
Stochastic Reliability Modeling Optimization and Applications Book PDF

Author : Syouji Nakamura,Toshio Nakagawa
Publisher : World Scientific
Page : 317 pages
File Size : 45,5 Mb
Release : 2010
Category : Mathematics
ISBN : 9789814277440

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Stochastic Reliability Modeling, Optimization and Applications by Syouji Nakamura,Toshio Nakagawa Pdf

Aims to survey research topics in reliability theory and useful applied techniques in reliability engineering. This book focuses on how to apply the results of reliability theory to practical models. Theoretical results of coherent, inspection, and damage systems are summarized methodically, using the techniques of stochastic processes.

Data-Driven Remaining Useful Life Prognosis Techniques

Xiao-Sheng Si,Zheng-Xin Zhang,Chang-Hua Hu
Data Driven Remaining Useful Life Prognosis Techniques Book PDF

Author : Xiao-Sheng Si,Zheng-Xin Zhang,Chang-Hua Hu
Publisher : Springer
Page : 430 pages
File Size : 43,8 Mb
Release : 2017-01-20
Category : Technology & Engineering
ISBN : 9783662540305

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Data-Driven Remaining Useful Life Prognosis Techniques by Xiao-Sheng Si,Zheng-Xin Zhang,Chang-Hua Hu Pdf

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

Toshio Nakagawa
Stochastic Processes Book PDF

Author : Toshio Nakagawa
Publisher : Springer Science & Business Media
Page : 254 pages
File Size : 53,6 Mb
Release : 2011-05-27
Category : Technology & Engineering
ISBN : 9780857292742

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Stochastic Processes by Toshio Nakagawa Pdf

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.

Stochastic Models in Reliability Engineering

Lirong Cui,Ilia Frenkel,Anatoly Lisnianski
Stochastic Models in Reliability Engineering Book PDF

Author : Lirong Cui,Ilia Frenkel,Anatoly Lisnianski
Publisher : CRC Press
Page : 464 pages
File Size : 41,5 Mb
Release : 2020-07-29
Category : Mathematics
ISBN : 9781000094596

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Stochastic Models in Reliability Engineering by Lirong Cui,Ilia Frenkel,Anatoly Lisnianski Pdf

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 Models in Reliability

U. Jensen
Stochastic Models in Reliability Book PDF

Author : U. Jensen
Publisher : Unknown
Page : 485 pages
File Size : 44,7 Mb
Release : 1997
Category : Electronic
ISBN : OCLC:471747488

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Stochastic Models in Reliability by U. Jensen Pdf

Discrete Stochastic Models and Applications for Reliability Engineering and Statistical Quality Control

Serkan Eryilmaz
Discrete Stochastic Models and Applications for Reliability Engineering and Statistical Quality Control Book PDF

Author : Serkan Eryilmaz
Publisher : CRC Press
Page : 183 pages
File Size : 44,5 Mb
Release : 2022-09-07
Category : Mathematics
ISBN : 9781000634716

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Discrete Stochastic Models and Applications for Reliability Engineering and Statistical Quality Control by Serkan Eryilmaz Pdf

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.

Modern Dynamic Reliability Analysis for Multi-state Systems

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

Author : Anatoly Lisnianski,Ilia Frenkel,Lev Khvatskin
Publisher : Springer Nature
Page : 195 pages
File Size : 53,9 Mb
Release : 2020-08-24
Category : Technology & Engineering
ISBN : 9783030524883

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

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.