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Systems reliability and risk analysis by Ernst G. Frankel

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Published by M. Nijhoff, Distributors for the U.S. and Canada, Kluwer Boston in The Hague, Boston, Hingham, MA .
Written in English

Subjects:

  • Reliability (Engineering),
  • Risk.

Book details:

Edition Notes

Includes bibliographical references and index.

Statementby Ernst G. Frankel.
SeriesEngineering applications of systems reliability and risk analysis
Classifications
LC ClassificationsTA169 .F73 1984
The Physical Object
Paginationxi, 423 p. :
Number of Pages423
ID Numbers
Open LibraryOL3177016M
ISBN 109024728959
LC Control Number83019469

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Systems reliability and risk analysis. Dordrecht ; Boston: Kluwer Academic Publishers, © (OCoLC) Online version: Frankel, Ernst G. Systems reliability and risk analysis. Dordrecht ; Boston: Kluwer Academic Publishers, © (OCoLC) Document Type: Book: All Authors / Contributors: Ernst G Frankel.   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.   Systems Reliability and Risk Analysis by Ernst G. Frankel, , available at Book Depository with free delivery worldwide.5/5(1). A third section of the book considers different aspects of uncertainty analysis, especially risk analysis and risk management, providing instructive examples. The final group of chapters addresses reliability analysis and design, focusing particularly on the important area of water distribution networks.

COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle coronavirus. He has taught several graduate courses on reliability engineering at the University of Maryland. Dr. Kaminskiy is the author and coauthor of more than 60 professional publications, including two books on reliability and risk analysis, and chapters in many books on statistical reliability and risk by: The abstracts book ( pages) + full paper CD-ROM ( pages) cover a wide range of topics for which risk analysis forms an indispensable field of knowledge to ensure sufficient safety: Uncertainty Analysis, Accident and Incident Modeling, Human Factors and Human Reliability, System Reliability, Structural Reliability, Safety in Civil. Hazard analysis is the most important step in risk analysis because, unless hazards are identified, consequence and likelihood reduction cannot be implemented. In the context of process safety and operational integrity programs, this usually means that a Process Hazards Analysis must be conducted.

Basic notions of the system multi-state reliability analysis are introduced. The multi-state homogeneous and non-homogeneous series, parallel, ‘m out of n’, series–parallel and parallel–series systems with degrading components are defined and their exact reliability functions are multi-state limit reliability function of the system, its risk function and other multi. This book has been written with the intention to fill two big gaps in the reliability and risk literature: the risk-based reliability analysis as a powerful alternative to the traditional reliability analysis and the generic principles for reducing technical risk. Reliability and Risk provides a comprehensive overview of the mathematical and statistical aspects of risk and reliability analysis, from a Bayesian perspective. This book sets out to change the way in which we think about reliability and survival analysis by casting them in the broader context of decision-making. The book includes numerical examples for each distribution, demonstrating applications of the distribution function in the context of reliability engineering and risk analysis problems. Each section concludes with online resources and hardcopy references for further information, followed by the relationship of each distribution to other.