Advances in Stochastic Models for Reliablity, Quality and Safety

Advances in Stochastic Models for Reliablity, Quality and Safety PDF

Author: Jensen Kahle

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 390

ISBN-13: 1461222346

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Fast technological development produces systems of ever-increasing complex ity. The demand for reliable functioning of these systems has become more and more important. Thus, there is a need for highly reliable technical devices and systems, for monitoring and controlling their functioning and for planning maintenance and corrective actions to fulfill given requirements considering eco nomic limitations. These tasks reflect the wide field of engineering activities that are accompa nied by and based on a wide range of stochastical models. The book presents the main contributions to a workshop on Stochastic Models of Reliability, Qual ity, and Safety held in Schierke near Magdeburg, Germany. This workshop was part of a series of meetings that take place every two years organized by the Society of Reliability, Quality and Safety. The basic idea of these workshops is to bring together theorists, applied statisticians, and practitioners to exchange experiences and ideas of common interest. The book contains recent results in reliability and related fields. The presentation aims at making at least a part of the results accessible to engineers.

Advances in Stochastic Models for Reliablity, Quality and Safety

Advances in Stochastic Models for Reliablity, Quality and Safety PDF

Author: Waltraud Kahle

Publisher: Springer Science & Business Media

Published: 1998-08-25

Total Pages: 426

ISBN-13: 9780817640491

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In 24 papers from a 1997 workshop near Magdeburg, Germany, theoreticians, applied statisticians, and practitioners discuss their current work and compare and evaluate models and methods. Within sections on lifetime analysis, reliability analysis, network analysis, and process control, they consider such topics as acceptance regions and their application in lifetime estimation, stochastic models for the return of used devices, a unified approach to the reliability of recurrent structures, and controlling a process with three different states. Annotation copyrighted by Book News, Inc., Portland, OR

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

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

Author: Serkan Eryilmaz

Publisher: CRC Press

Published: 2022-09-07

Total Pages: 183

ISBN-13: 100063471X

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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

Stochastic Models in Reliability PDF

Author: Terje Aven

Publisher: Springer Science & Business Media

Published: 2008-01-08

Total Pages: 280

ISBN-13: 0387225935

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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

Stochastic Models in Reliability Engineering PDF

Author: Lirong Cui

Publisher: CRC Press

Published: 2020-09-01

Total Pages: 376

ISBN-13: 1000094618

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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.

Recent Advances in Stochastic Operations Research

Recent Advances in Stochastic Operations Research PDF

Author: Tadashi Dohi

Publisher: World Scientific

Published: 2007

Total Pages: 325

ISBN-13: 9812567046

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Operations research uses quantitative models to analyze and predict the behavior of systems and to provide information for decision makers. Two key concepts in operations research are optimization and uncertainty. This volume consists of a collection of peer reviewed papers from the International Workshop on Recent Advances in Stochastic Operations Research (RASOR 2005), August 25-26, 2005, Canmore, Alberta, Canada. In particular, the book focusses on models in stochastic operations research, including queueing models, inventory models, financial engineering models, reliability models, and simulations models.

Stochastic Modeling for Reliability

Stochastic Modeling for Reliability PDF

Author: Maxim Finkelstein

Publisher: Springer Science & Business Media

Published: 2013-04-12

Total Pages: 397

ISBN-13: 1447150287

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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.

Statistical Data Analysis Based on the L1-Norm and Related Methods

Statistical Data Analysis Based on the L1-Norm and Related Methods PDF

Author: Yadolah Dodge

Publisher: Birkhäuser

Published: 2012-12-06

Total Pages: 447

ISBN-13: 3034882017

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This volume contains a selection of invited papers, presented to the fourth International Conference on Statistical Data Analysis Based on the L1-Norm and Related Methods, held in Neuchâtel, Switzerland, from August 4–9, 2002. The contributions represent clear evidence to the importance of the development of theory, methods and applications related to the statistical data analysis based on the L1-norm.