Discrete Stochastic Models And Applications For Reliability Engineering And Statistical Quality Control

Author : Serkan Eryilmaz
Publisher : CRC Press
Page : 250 pages
File Size : 42,5 Mb
Release : 2022-09-07
Category : Technology & Engineering
ISBN : 9781000634754

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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.

Author : Lirong Cui,Ilia Frenkel,Anatoly Lisnianski
Publisher : CRC Press
Page : 376 pages
File Size : 51,6 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.

Author : Shunji Osaki
Publisher : Springer Science & Business Media
Page : 338 pages
File Size : 41,8 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.

Author : Terje Aven,Uwe Jensen
Publisher : Springer Science & Business Media
Page : 271 pages
File Size : 43,7 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.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 43,8 Mb
Release : 2024-05-21
Category : Electronic
ISBN : 9789814467551

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Stochastic Reliability Modeling, Optimization and Applications by Anonim Pdf

Author : Ilia B. Frenkel,Alex Karagrigoriou,Anatoly Lisnianski,Andre Kleyner
Publisher : John Wiley & Sons
Page : 449 pages
File Size : 53,8 Mb
Release : 2013-08-22
Category : Technology & Engineering
ISBN : 9781118701898

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Applied Reliability Engineering and Risk Analysis by Ilia B. Frenkel,Alex Karagrigoriou,Anatoly Lisnianski,Andre Kleyner Pdf

This complete resource on the theory and applications of reliability engineering, probabilistic models and risk analysis consolidates all the latest research, presenting the most up-to-date developments in this field. With comprehensive coverage of the theoretical and practical issues of both classic and modern topics, it also provides a unique commemoration to the centennial of the birth of Boris Gnedenko, one of the most prominent reliability scientists of the twentieth century. Key features include: expert treatment of probabilistic models and statistical inference from leading scientists, researchers and practitioners in their respective reliability fields detailed coverage of multi-state system reliability, maintenance models, statistical inference in reliability, systemability, physics of failures and reliability demonstration many examples and engineering case studies to illustrate the theoretical results and their practical applications in industry Applied Reliability Engineering and Risk Analysis is one of the first works to treat the important areas of degradation analysis, multi-state system reliability, networks and large-scale systems in one comprehensive volume. It is an essential reference for engineers and scientists involved in reliability analysis, applied probability and statistics, reliability engineering and maintenance, logistics, and quality control. It is also a useful resource for graduate students specialising in reliability analysis and applied probability and statistics. Dedicated to the Centennial of the birth of Boris Gnedenko, renowned Russian mathematician and reliability theorist

Author : Maxim Finkelstein,Ji Hwan Cha
Publisher : Springer Science & Business Media
Page : 397 pages
File Size : 42,7 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.

Author : University of Michigan--Dearborn
Publisher : Unknown
Page : 76 pages
File Size : 49,6 Mb
Release : 1984
Category : Electronic
ISBN : UOM:39076005117499

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Graduate Announcement by University of Michigan--Dearborn Pdf

Author : Anatoly Lisnianski,Ilia Frenkel,Lev Khvatskin
Publisher : Springer Nature
Page : 195 pages
File Size : 46,5 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.

Author : Xiao-Sheng Si,Zheng-Xin Zhang,Chang-Hua Hu
Publisher : Springer
Page : 430 pages
File Size : 46,7 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.

Author : Marvin Rausand,Arnljot Hoyland
Publisher : John Wiley & Sons
Page : 664 pages
File Size : 54,8 Mb
Release : 2003-12-05
Category : Technology & Engineering
ISBN : 9780471471332

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System Reliability Theory by Marvin Rausand,Arnljot Hoyland Pdf

A thoroughly updated and revised look at system reliability theory Since the first edition of this popular text was published nearly a decade ago, new standards have changed the focus of reliability engineering and introduced new concepts and terminology not previously addressed in the engineering literature. Consequently, the Second Edition of System Reliability Theory: Models, Statistical Methods, and Applications has been thoroughly rewritten and updated to meet current standards. To maximize its value as a pedagogical tool, the Second Edition features: Additional chapters on reliability of maintained systems and reliability assessment of safety-critical systems Discussion of basic assessment methods for operational availability and production regularity New concepts and terminology not covered in the first edition Revised sequencing of chapters for better pedagogical structure New problems, examples, and cases for a more applied focus An accompanying Web site with solutions, overheads, and supplementary information With its updated practical focus, incorporation of industry feedback, and many new examples based on real industry problems and data, the Second Edition of this important text should prove to be more useful than ever for students, instructors, and researchers alike.

Author : Igor A. Ushakov
Publisher : John Wiley & Sons
Page : 166 pages
File Size : 41,6 Mb
Release : 2012-08-07
Category : Business & Economics
ISBN : 9781118370766

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Probabilistic Reliability Models by Igor A. Ushakov Pdf

Practical Approaches to Reliability Theory in Cutting-Edge Applications Probabilistic Reliability Models helps readers understand and properly use statistical methods and optimal resource allocation to solve engineering problems. The author supplies engineers with a deeper understanding of mathematical models while also equipping mathematically oriented readers with a fundamental knowledge of the engineeringrelated applications at the center of model building. The book showcases the use of probability theory and mathematical statistics to solve common, real-world reliability problems. Following an introduction to the topic, subsequent chapters explore key systems and models including: • Unrecoverable objects and recoverable systems • Methods of direct enumeration • Markov models and heuristic models • Performance effectiveness • Time redundancy • System survivability • Aging units and their related systems • Multistate systems Detailed case studies illustrate the relevance of the discussed methods to real-world technical projects including software failure avalanches, gas pipelines with underground storage, and intercontinental ballistic missile (ICBM) control systems. Numerical examples and detailed explanations accompany each topic, and exercises throughout allow readers to test their comprehension of the presented material. Probabilistic Reliability Models is an excellent book for statistics, engineering, and operations research courses on applied probability at the upper-undergraduate and graduate levels. The book is also a valuable reference for professionals and researchers working in industry who would like a mathematical review of reliability models and the relevant applications.

Author : K. MURALIDHARAN,A. SYAMSUNDAR
Publisher : PHI Learning Pvt. Ltd.
Page : 360 pages
File Size : 46,8 Mb
Release : 2012-05-16
Category : Technology & Engineering
ISBN : 9788120345430

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STATISTICAL METHODS FOR QUALITY, RELIABILITY AND MAINTAINABILITY by K. MURALIDHARAN,A. SYAMSUNDAR Pdf

A fine blend of the three disciplines, viz. quality, reliability and maintainability, this book provides a clear understanding of the concepts and discusses their applications using statistical tools and techniques. The concepts are critically assessed and explained to enable their use for management decision-making. The book describes many current topics such as six sigma, capability maturity model integration (CMMI), process data management, reliability system models, repairable system models, maintainability assessment and design and testing concepts. It is intended as a textbook for the undergraduate students of Mechanical Engineering and Production and Industrial Engineering. The book will also be useful to the postgraduate students of Applied Statistics, Quality and Reliability, and Quality and Productivity Management as well as to the management and engineering professionals. KEY FEATURES : Provides charts and plots to explain the concepts discussed. Gives an account of most recent developments. Gives illustrations of practical situations where tools can be applied immediately. Interspersed with plenty of worked-out examples to reinforce the concepts. Includes chapter-end exercises to drill the students in self-study.

Author : Muhammad Aslam ,Ali Hussein Al-Marshadi
Publisher : Infinite Study
Page : 10 pages
File Size : 48,9 Mb
Release : 2024-05-21
Category : Mathematics
ISBN : 8210379456XXX

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Design of a Control Chart Based on COM-Poisson Distribution for the Uncertainty Environment by Muhammad Aslam ,Ali Hussein Al-Marshadi Pdf

This paper will introduce the neutrosophic COM-Poisson (NCOM-Poisson) distribution. Then, the design of the attribute control chart using the NCOM-Poisson distribution is given.The structure of the control chart under the neutrosophic statistical interval methodwill be given.Thealgorithm to determine the average run length under neutrosophic statistical interval systemwill be given. The performance of the proposed control chart is compared with the chart based on classical statistics in terms of neutrosophic average run length (NARL). A simulation study and a real example are also added. From the comparison of the proposed control chart with the existing chart, it is concluded that the proposed control chart is more efficient in detecting a shift in the process. Therefore, the proposed control chart will be helpful in minimizing the defective product. In addition, the proposed control chart is more adequate and effective to apply in uncertainty environment.

Author : University of Michigan--Dearborn
Publisher : Unknown
Page : 212 pages
File Size : 42,5 Mb
Release : 2007
Category : Universities and colleges
ISBN : UOM:39076005117507

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Graduate Catalog by University of Michigan--Dearborn Pdf