Dependability Modelling Under Uncertainty

Author : Philipp Limbourg
Publisher : Springer Science & Business Media
ISBN 13 : 354069286X
Total Pages : 148 pages
Book Rating : 4.67/5 ( download)

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Download or read book Dependability Modelling under Uncertainty written by Philipp Limbourg and published by Springer Science & Business Media. This book was released on 2008-08-20 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mechatronic design processes have become shorter and more parallelized, induced by growing time-to-market pressure. Methods that enable quantitative analysis in early design stages are required, should dependability analyses aim to influence the design. Due to the limited amount of data in this phase, the level of uncertainty is high and explicit modeling of these uncertainties becomes necessary. This work introduces new uncertainty-preserving dependability methods for early design stages. These include the propagation of uncertainty through dependability models, the activation of data from similar components for analyses and the integration of uncertain dependability predictions into an optimization framework. It is shown that Dempster-Shafer theory can be an alternative to probability theory in early design stage dependability predictions. Expert estimates can be represented, input uncertainty is propagated through the system and prediction uncertainty can be measured and interpreted. The resulting coherent methodology can be applied to represent the uncertainty in dependability models.

Author : Philipp Limbourg
Publisher : Springer
ISBN 13 : 3540692878
Total Pages : 148 pages
Book Rating : 4.74/5 ( download)

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Download or read book Dependability Modelling under Uncertainty written by Philipp Limbourg and published by Springer. This book was released on 2008-09-08 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mechatronic design processes have become shorter and more parallelized, induced by growing time-to-market pressure. Methods that enable quantitative analysis in early design stages are required, should dependability analyses aim to influence the design. Due to the limited amount of data in this phase, the level of uncertainty is high and explicit modeling of these uncertainties becomes necessary. This work introduces new uncertainty-preserving dependability methods for early design stages. These include the propagation of uncertainty through dependability models, the activation of data from similar components for analyses and the integration of uncertain dependability predictions into an optimization framework. It is shown that Dempster-Shafer theory can be an alternative to probability theory in early design stage dependability predictions. Expert estimates can be represented, input uncertainty is propagated through the system and prediction uncertainty can be measured and interpreted. The resulting coherent methodology can be applied to represent the uncertainty in dependability models.

Author : Hans-Dieter Kochs
Publisher : Springer
ISBN 13 : 3319649914
Total Pages : 374 pages
Book Rating : 4.17/5 ( download)

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Download or read book System Dependability Evaluation Including S-dependency and Uncertainty written by Hans-Dieter Kochs and published by Springer. This book was released on 2017-11-14 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on system dependability modeling and calculation, considering the impact of s-dependency and uncertainty. The best suited approaches for practical system dependability modeling and calculation, (1) the minimal cut approach, (2) the Markov process approach, and (3) the Markov minimal cut approach as a combination of (1) and (2) are described in detail and applied to several examples. The stringently used Boolean logic during the whole development process of the approaches is the key for the combination of the approaches on a common basis. For large and complex systems, efficient approximation approaches, e.g. the probable Markov path approach, have been developed, which can take into account s-dependencies be-tween components of complex system structures. A comprehensive analysis of aleatory uncertainty (due to randomness) and epistemic uncertainty (due to lack of knowledge), and their combination, developed on the basis of basic reliability indices and evaluated with the Monte Carlo simulation method, has been carried out. The uncertainty impact on system dependability is investigated and discussed using several examples with different levels of difficulty. The applications cover a wide variety of large and complex (real-world) systems. Actual state-of-the-art definitions of terms of the IEC 60050-192:2015 standard, as well as the dependability indices, are used uniformly in all six chapters of the book.

Author : Kishor S. Trivedi
Publisher : Cambridge University Press
ISBN 13 : 1108509002
Total Pages : 729 pages
Book Rating : 4.08/5 ( download)

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Download or read book Reliability and Availability Engineering written by Kishor S. Trivedi and published by Cambridge University Press. This book was released on 2017-08-03 with total page 729 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do you need to know what technique to use to evaluate the reliability of an engineered system? This self-contained guide provides comprehensive coverage of all the analytical and modeling techniques currently in use, from classical non-state and state space approaches, to newer and more advanced methods such as binary decision diagrams, dynamic fault trees, Bayesian belief networks, stochastic Petri nets, non-homogeneous Markov chains, semi-Markov processes, and phase type expansions. Readers will quickly understand the relative pros and cons of each technique, as well as how to combine different models together to address complex, real-world modeling scenarios. Numerous examples, case studies and problems provided throughout help readers put knowledge into practice, and a solutions manual and Powerpoint slides for instructors accompany the book online. This is the ideal self-study guide for students, researchers and practitioners in engineering and computer science.

Author : Christophe Simon
Publisher : John Wiley & Sons
ISBN 13 : 1848219938
Total Pages : 261 pages
Book Rating : 4.39/5 ( download)

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Download or read book Data Uncertainty and Important Measures written by Christophe Simon and published by John Wiley & Sons. This book was released on 2018-03-13 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first part of the book defines the concept of uncertainties and the mathematical frameworks that will be used for uncertainty modeling. The application to system reliability assessment illustrates the concept. In the second part, evidential networks as a new tool to model uncertainty in reliability and risk analysis is proposed and described. Then it is applied on SIS performance assessment and in risk analysis of a heat sink. In the third part, Bayesian and evidential networks are used to deal with important measures evaluation in the context of uncertainties.

Author : Dan Frangopol
Publisher : CRC Press
ISBN 13 : 0203386280
Total Pages : 794 pages
Book Rating : 4.86/5 ( download)

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Download or read book Maintenance and Safety of Aging Infrastructure written by Dan Frangopol and published by CRC Press. This book was released on 2014-10-23 with total page 794 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest research findings in the field of maintenance and safety of aging infrastructure. The invited contributions provide an overview of the use of advanced computational and/or experimental techniques in damage and vulnerability assessment as well as maintenance and retrofitting of aging structures and infrastructures such

Author : N. Unnikrishnan Nair
Publisher : CRC Press
ISBN 13 : 100079282X
Total Pages : 299 pages
Book Rating : 4.29/5 ( download)

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Download or read book Reliability Modelling with Information Measures written by N. Unnikrishnan Nair and published by CRC Press. This book was released on 2022-11-17 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book deals with the application of various measures of information like the entropy, divergence, inaccuracy, etc. in modelling lifetimes of devices or equipment in reliability analysis. This is an emerging area of study and research during the last two decades and is of potential interest in many fields. In this work the classical measures of uncertainty are sufficiently modified to meet the needs of lifetime data analysis. The book provides an exhaustive collection of materials in a single volume to make it a comprehensive source of reference. The first treatise on the subject. It brings together the work that have appeared in journals on different disciplines. It will serve as a text for graduate students and practioners of special studies in information theory, as well as statistics and as a reference book for researchers. The book contains illustrative examples, tables and figures for clarifying the concepts and methodologies, the book is self-contained. It helps students to access information relevant to careers in industry, engineering, applied statistics, etc.

Author : Linda C. Wolstenholme
Publisher : Routledge
ISBN 13 : 1351419099
Total Pages : 272 pages
Book Rating : 4.93/5 ( download)

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Download or read book Reliability Modelling written by Linda C. Wolstenholme and published by Routledge. This book was released on 2018-10-03 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reliability is an essential concept in mathematics, computing, research, and all disciplines of engineering, and reliability as a characteristic is, in fact, a probability. Therefore, in this book, the author uses the statistical approach to reliability modelling along with the MINITAB software package to provide a comprehensive treatment of modelling, from the basics through advanced modelling techniques.The book begins by presenting a thorough grounding in the elements of modelling the lifetime of a single, non-repairable unit. Assuming no prior knowledge of the subject, the author includes a guide to all the fundamentals of probability theory, defines the various measures associated with reliability, then describes and discusses the more common lifetime models: the exponential, Weibull, normal, lognormal and gamma distributions. She concludes the groundwork by looking at ways of choosing and fitting the most appropriate model to a given data set, paying particular attention to two critical points: the effect of censored data and estimating lifetimes in the tail of the distribution.The focus then shifts to topics somewhat more difficult:the difference in the analysis of lifetimes for repairable versus non-repairable systems and whether repair truly ""renews"" the systemmethods for dealing with system with reliability characteristic specified for more than one component or subsystemthe effect of different types of maintenance strategiesthe analysis of life test dataThe final chapter provides snapshot introductions to a range of advanced models and presents two case studies that illustrate various ideas from throughout the book.

Author : Jovan M. Nahman
Publisher : Springer Science & Business Media
ISBN 13 : 3662048922
Total Pages : 204 pages
Book Rating : 4.24/5 ( download)

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Download or read book Dependability of Engineering Systems written by Jovan M. Nahman and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended to provide the interested reader with basic information on various issues of the dependability analysis and evaluation of engineering systems with the principal goal to help the reader perform such an analysis and evaluation. By the definition of the IEC International Standard 50(191) dependability is the collective term used to describe the availability peiformance and its influencing factors: reliability peiformance, maintainability peiformance and maintenance support performance. Dependability is a term used for a general description of system performance but not a quality which could be expressed by a single quantitative measure. There are several other quantitative terms, such as reliability, unreliability, time-specific and steady-state availability and unavailability, which together form a basis for evaluating the dependability of a system. A system is taken as dependable if it satisfies all requirements of the customers with regard to various dependability performances and indices. The dependability deals with failures, repairs, preventive maintenance as well as with costs associated with investment and service interruptions or mission failures. Therefore, it is a very important attribute of system quality. The dependability evaluation is strongly based upon experience and statistical data on the behavior of a system and of its elements. Using past experience with the same or similar systems and elements, the prospective operation may be predicted and improved designs and constructions can be conceived. Hence, the dependability analysis makes it possible to learn from the past for better future solutions.

Author : Unnikrishnan Nair
Publisher : Academic Press
ISBN 13 : 0128020067
Total Pages : 510 pages
Book Rating : 4.67/5 ( download)

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Download or read book Reliability Modelling and Analysis in Discrete Time written by Unnikrishnan Nair and published by Academic Press. This book was released on 2018-05-15 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reliability Modelling and Analysis in Discrete Time provides an overview of the probabilistic and statistical aspects connected with discrete reliability systems. This engaging book discusses their distributional properties and dependence structures before exploring various orderings associated between different reliability structures. Though clear explanations, multiple examples, and exhaustive coverage of the basic and advanced topics of research in this area, the work gives the reader a thorough understanding of the theory and concepts associated with discrete models and reliability structures. A comprehensive bibliography assists readers who are interested in further research and understanding. Requiring only an introductory understanding of statistics, this book offers valuable insight and coverage for students and researchers in Probability and Statistics, Electrical Engineering, and Reliability/Quality Engineering. The book also includes a comprehensive bibliography to assist readers seeking to delve deeper. Includes a valuable introduction to Reliability Theory before covering advanced topics of research and real world applications Features an emphasis on the mathematical theory of reliability modeling Provides many illustrative examples to foster reader understanding