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Probabilistic Risk Assessment of Engineering Systems

Author: M. Stewart

Publisher: Springer

Published: 1997-11-30

Total Pages: 274

ISBN-13: 0412805707

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Probabilistic risk and hazard assessments are applied to a wide range of engineering systems, mainly for regulatory reasons needed for development consent, system certification and occupational health and safety issues. The purpose of this book is to raise awareness of the limitations, uncertainties and other issues inherent in probabilistic risk analysis procedures. Probabilistic Risk Assessment of Engineering Systems describes: the importance of probabilistic risk assessment in decision making, i.e. risk management; types of risk and probabilistic risk analysis procedures; data needed for the conduct of probabilistic risk analysis; and acceptable/tolerable risk and other risk acceptance criteria. In essence, the book provides a multi-disciplinary and integrated explanation of risk assessment procedures that will enable the non-specialist reader to gain valuable insights into the development of risk analysis procedures. Practising engineers and graduate engineering students across a range of disciplines will find this book immensely useful.

Book Synopsis Probabilistic Risk Assessment of Engineering Systems by : M. Stewart

Download or read book Probabilistic Risk Assessment of Engineering Systems written by M. Stewart and published by Springer. This book was released on 1997-11-30 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic risk and hazard assessments are applied to a wide range of engineering systems, mainly for regulatory reasons needed for development consent, system certification and occupational health and safety issues. The purpose of this book is to raise awareness of the limitations, uncertainties and other issues inherent in probabilistic risk analysis procedures. Probabilistic Risk Assessment of Engineering Systems describes: the importance of probabilistic risk assessment in decision making, i.e. risk management; types of risk and probabilistic risk analysis procedures; data needed for the conduct of probabilistic risk analysis; and acceptable/tolerable risk and other risk acceptance criteria. In essence, the book provides a multi-disciplinary and integrated explanation of risk assessment procedures that will enable the non-specialist reader to gain valuable insights into the development of risk analysis procedures. Practising engineers and graduate engineering students across a range of disciplines will find this book immensely useful.

Probablistic Risk Assessment and Management for Engineers and Scientists

Author: Hiromitsu Kumamoto

Publisher: Wiley-IEEE Press

Published: 2000-04-18

Total Pages: 0

ISBN-13: 9780780360174

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Electrical Engineering Probabilistic Risk Assessment and Management for Engineers and Scientists Second Edition "State of the art in risk analysis...[this book] projects the technology into the next decade. Congratulations to the authors on a virtuoso performance." -Charles Donaghey, University of Houston "A very useful reference to the academic and government communities, and junior engineering staff within nuclear, chemical, transportation, aerospace, and other industries." -Yovan Lukic, Arizona Public Service Company As the demands of government agencies and insurance companies escalate, societal risk assessment and management become increasingly critical to the development and use of engineered systems in the full range of industrial installations. Packed with real-world examples and practical mathematical and statistical methods for large, complex systems, this definitive text and sourcebook gives you the guidance you need for thorough and conclusive study. You'll find new and updated coverage of all the key topics related to risk analysis: * Probabilistic nature of risk * Qualitative and quantitative risk assessments * System decomposition * Legal and regulatory risks * And much more! The authors also provide end-of-chapter problems and a course outline. Complete with a new, automated, fault tree synthesis method using semantic networks. Probabilistic Risk Assessment and Management for Engineers and Scientists, Second Edition will be of value to anyone working with engineered systems. Also of Interest from IEEE Press... Successful Patents and Patenting for Engineers and Scientists edited by Michael A. Lechter, Esq. 1995 Softcover 432 pp IEEE Order No. PP4478 ISBN 0-7803-1086-1 Metric Units and Conversion Charts A Metrication Handbook for Engineers, Technologists, and Scientists Second Edition Theodore Wildi 1995 Softcover 144 pp IEEE Order No. PP4044 ISBN 0-7803-1050-0 The Probability Tutoring Book An Intuitive Course for Engineers and Scientists (And Everyone Else!) Carol Ash 1993 Softcover 480 pp IEEE Order No. PP2881 ISBN 0-7803-1051-9

Book Synopsis Probablistic Risk Assessment and Management for Engineers and Scientists by : Hiromitsu Kumamoto

Download or read book Probablistic Risk Assessment and Management for Engineers and Scientists written by Hiromitsu Kumamoto and published by Wiley-IEEE Press. This book was released on 2000-04-18 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electrical Engineering Probabilistic Risk Assessment and Management for Engineers and Scientists Second Edition "State of the art in risk analysis...[this book] projects the technology into the next decade. Congratulations to the authors on a virtuoso performance." -Charles Donaghey, University of Houston "A very useful reference to the academic and government communities, and junior engineering staff within nuclear, chemical, transportation, aerospace, and other industries." -Yovan Lukic, Arizona Public Service Company As the demands of government agencies and insurance companies escalate, societal risk assessment and management become increasingly critical to the development and use of engineered systems in the full range of industrial installations. Packed with real-world examples and practical mathematical and statistical methods for large, complex systems, this definitive text and sourcebook gives you the guidance you need for thorough and conclusive study. You'll find new and updated coverage of all the key topics related to risk analysis: * Probabilistic nature of risk * Qualitative and quantitative risk assessments * System decomposition * Legal and regulatory risks * And much more! The authors also provide end-of-chapter problems and a course outline. Complete with a new, automated, fault tree synthesis method using semantic networks. Probabilistic Risk Assessment and Management for Engineers and Scientists, Second Edition will be of value to anyone working with engineered systems. Also of Interest from IEEE Press... Successful Patents and Patenting for Engineers and Scientists edited by Michael A. Lechter, Esq. 1995 Softcover 432 pp IEEE Order No. PP4478 ISBN 0-7803-1086-1 Metric Units and Conversion Charts A Metrication Handbook for Engineers, Technologists, and Scientists Second Edition Theodore Wildi 1995 Softcover 144 pp IEEE Order No. PP4044 ISBN 0-7803-1050-0 The Probability Tutoring Book An Intuitive Course for Engineers and Scientists (And Everyone Else!) Carol Ash 1993 Softcover 480 pp IEEE Order No. PP2881 ISBN 0-7803-1051-9

Online Probabilistic Risk Assessment of Complex Marine Systems

Author: Tarannom Parhizkar

Publisher: Springer Nature

Published: 2021-11-26

Total Pages: 170

ISBN-13: 3030880982

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This book proposes a new approach to dynamic and online risk assessment of automated and autonomous marine systems, taking into account different environmental and operational conditions. The book presents lessons learnt from dynamic positioning incidents and accidents, and discusses the challenges of risk assessment of complex systems. The book begins by introducing dynamic and online risk assessment, before presenting automated and autonomous marine systems, as well as numerous dynamic positioning incidents. It then discusses human interactions with technology and explores how to quantify human error. Dynamic probabilistic risk assessment and online risk assessment are both considered fully, including case studies with the application of assisting operators in decision making in emergency situations. Finally, areas for future research are suggested. This practical volume offers tools and methodologies to help operators make better decisions and improve the safety of automated and autonomous marine systems. It provides a guideline for researchers and practitioners to perform dynamic probabilistic and online risk assessment, which also should be applicable to other complex systems outside the marine and maritime domain, such as nuclear power plants, chemical processes, autonomous transport systems, and space shuttles.

Book Synopsis Online Probabilistic Risk Assessment of Complex Marine Systems by : Tarannom Parhizkar

Download or read book Online Probabilistic Risk Assessment of Complex Marine Systems written by Tarannom Parhizkar and published by Springer Nature. This book was released on 2021-11-26 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes a new approach to dynamic and online risk assessment of automated and autonomous marine systems, taking into account different environmental and operational conditions. The book presents lessons learnt from dynamic positioning incidents and accidents, and discusses the challenges of risk assessment of complex systems. The book begins by introducing dynamic and online risk assessment, before presenting automated and autonomous marine systems, as well as numerous dynamic positioning incidents. It then discusses human interactions with technology and explores how to quantify human error. Dynamic probabilistic risk assessment and online risk assessment are both considered fully, including case studies with the application of assisting operators in decision making in emergency situations. Finally, areas for future research are suggested. This practical volume offers tools and methodologies to help operators make better decisions and improve the safety of automated and autonomous marine systems. It provides a guideline for researchers and practitioners to perform dynamic probabilistic and online risk assessment, which also should be applicable to other complex systems outside the marine and maritime domain, such as nuclear power plants, chemical processes, autonomous transport systems, and space shuttles.

Probabilistic Risk Analysis

Author: Tim Bedford

Publisher: Cambridge University Press

Published: 2001-04-30

Total Pages: 228

ISBN-13: 9780521773201

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A graduate level textbook on probabilistic risk analysis, aimed at statisticians, operations researchers and engineers.

Book Synopsis Probabilistic Risk Analysis by : Tim Bedford

Download or read book Probabilistic Risk Analysis written by Tim Bedford and published by Cambridge University Press. This book was released on 2001-04-30 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: A graduate level textbook on probabilistic risk analysis, aimed at statisticians, operations researchers and engineers.

Risk Analysis in Engineering

Author: Mohammad Modarres

Publisher: CRC Press

Published: 2016-04-27

Total Pages: 408

ISBN-13: 1420003496

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Based on the author's 20 years of teaching, Risk Analysis in Engineering: Techniques, Tools, and Trends presents an engineering approach to probabilistic risk analysis (PRA). It emphasizes methods for comprehensive PRA studies, including techniques for risk management. The author assumes little or no prior knowledge of risk analysis on the p

Book Synopsis Risk Analysis in Engineering by : Mohammad Modarres

Download or read book Risk Analysis in Engineering written by Mohammad Modarres and published by CRC Press. This book was released on 2016-04-27 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on the author's 20 years of teaching, Risk Analysis in Engineering: Techniques, Tools, and Trends presents an engineering approach to probabilistic risk analysis (PRA). It emphasizes methods for comprehensive PRA studies, including techniques for risk management. The author assumes little or no prior knowledge of risk analysis on the p

Probabilistic Risk Assessment and Management for Engineers and Scientists

Author: Hiromitsu Kumamoto

Publisher: Institute of Electrical & Electronics Engineers(IEEE)

Published: 1996

Total Pages: 626

ISBN-13:

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As the demands of government agencies and insurance companies escalate, societal risk assessment and management become increasingly critical to the development and use of engineered systems in the full range of industrial installations.

Book Synopsis Probabilistic Risk Assessment and Management for Engineers and Scientists by : Hiromitsu Kumamoto

Download or read book Probabilistic Risk Assessment and Management for Engineers and Scientists written by Hiromitsu Kumamoto and published by Institute of Electrical & Electronics Engineers(IEEE). This book was released on 1996 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the demands of government agencies and insurance companies escalate, societal risk assessment and management become increasingly critical to the development and use of engineered systems in the full range of industrial installations.

Satisfying Safety Goals by Probabilistic Risk Assessment

Author: Hiromitsu Kumamoto

Publisher: Springer Science & Business Media

Published: 2007-05-31

Total Pages: 263

ISBN-13: 1846286824

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This book is a methodological approach to the goal-based safety design procedure that will soon be an international requirement. This is the first single volume book to describe how to satisfy safety goals by modern reliability engineering. Its focus is on the quantitative aspects of the international standards using a methodological approach. Case studies illustrate the methodologies presented.

Book Synopsis Satisfying Safety Goals by Probabilistic Risk Assessment by : Hiromitsu Kumamoto

Download or read book Satisfying Safety Goals by Probabilistic Risk Assessment written by Hiromitsu Kumamoto and published by Springer Science & Business Media. This book was released on 2007-05-31 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a methodological approach to the goal-based safety design procedure that will soon be an international requirement. This is the first single volume book to describe how to satisfy safety goals by modern reliability engineering. Its focus is on the quantitative aspects of the international standards using a methodological approach. Case studies illustrate the methodologies presented.

Probabilistic Risk Assessment

Author: Ernest J. Henley

Publisher: Institute of Electrical & Electronics Engineers(IEEE)

Published: 1992

Total Pages: 594

ISBN-13:

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Book Synopsis Probabilistic Risk Assessment by : Ernest J. Henley

Download or read book Probabilistic Risk Assessment written by Ernest J. Henley and published by Institute of Electrical & Electronics Engineers(IEEE). This book was released on 1992 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Scenario Logic and Probabilistic Management of Risk in Business and Engineering

Author: Evgueni D. Solojentsev

Publisher: Springer Science & Business Media

Published: 2006-07-21

Total Pages: 397

ISBN-13: 1402029780

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In this volume the methodological aspects of the scenario logic and probabilistic (LP) non-success risk management are considered. The theoretical bases of scenario non-success risk LP-management in business and engineering are also stated. Methods and algorithms for the scenario risk LP-management in problems of classification, investment and effectiveness are described. Risk LP- models and results of numerical investigations for credit risks, risk of frauds, security portfolio risk, risk of quality, accuracy, and risk in multi-stage systems reliability are given. In addition, a rather large number of new problems of estimation, analysis and management of risk are considered. Software for risk problems based on LP-methods, LP-theory, and GIE is described too.

Book Synopsis Scenario Logic and Probabilistic Management of Risk in Business and Engineering by : Evgueni D. Solojentsev

Download or read book Scenario Logic and Probabilistic Management of Risk in Business and Engineering written by Evgueni D. Solojentsev and published by Springer Science & Business Media. This book was released on 2006-07-21 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this volume the methodological aspects of the scenario logic and probabilistic (LP) non-success risk management are considered. The theoretical bases of scenario non-success risk LP-management in business and engineering are also stated. Methods and algorithms for the scenario risk LP-management in problems of classification, investment and effectiveness are described. Risk LP- models and results of numerical investigations for credit risks, risk of frauds, security portfolio risk, risk of quality, accuracy, and risk in multi-stage systems reliability are given. In addition, a rather large number of new problems of estimation, analysis and management of risk are considered. Software for risk problems based on LP-methods, LP-theory, and GIE is described too.

Bayesian Inference for Probabilistic Risk Assessment

Author: Dana Kelly

Publisher: Springer Science & Business Media

Published: 2011-08-30

Total Pages: 230

ISBN-13: 1849961875

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Bayesian Inference for Probabilistic Risk Assessment provides a Bayesian foundation for framing probabilistic problems and performing inference on these problems. Inference in the book employs a modern computational approach known as Markov chain Monte Carlo (MCMC). The MCMC approach may be implemented using custom-written routines or existing general purpose commercial or open-source software. This book uses an open-source program called OpenBUGS (commonly referred to as WinBUGS) to solve the inference problems that are described. A powerful feature of OpenBUGS is its automatic selection of an appropriate MCMC sampling scheme for a given problem. The authors provide analysis “building blocks” that can be modified, combined, or used as-is to solve a variety of challenging problems. The MCMC approach used is implemented via textual scripts similar to a macro-type programming language. Accompanying most scripts is a graphical Bayesian network illustrating the elements of the script and the overall inference problem being solved. Bayesian Inference for Probabilistic Risk Assessment also covers the important topics of MCMC convergence and Bayesian model checking. Bayesian Inference for Probabilistic Risk Assessment is aimed at scientists and engineers who perform or review risk analyses. It provides an analytical structure for combining data and information from various sources to generate estimates of the parameters of uncertainty distributions used in risk and reliability models.

Book Synopsis Bayesian Inference for Probabilistic Risk Assessment by : Dana Kelly

Download or read book Bayesian Inference for Probabilistic Risk Assessment written by Dana Kelly and published by Springer Science & Business Media. This book was released on 2011-08-30 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian Inference for Probabilistic Risk Assessment provides a Bayesian foundation for framing probabilistic problems and performing inference on these problems. Inference in the book employs a modern computational approach known as Markov chain Monte Carlo (MCMC). The MCMC approach may be implemented using custom-written routines or existing general purpose commercial or open-source software. This book uses an open-source program called OpenBUGS (commonly referred to as WinBUGS) to solve the inference problems that are described. A powerful feature of OpenBUGS is its automatic selection of an appropriate MCMC sampling scheme for a given problem. The authors provide analysis “building blocks” that can be modified, combined, or used as-is to solve a variety of challenging problems. The MCMC approach used is implemented via textual scripts similar to a macro-type programming language. Accompanying most scripts is a graphical Bayesian network illustrating the elements of the script and the overall inference problem being solved. Bayesian Inference for Probabilistic Risk Assessment also covers the important topics of MCMC convergence and Bayesian model checking. Bayesian Inference for Probabilistic Risk Assessment is aimed at scientists and engineers who perform or review risk analyses. It provides an analytical structure for combining data and information from various sources to generate estimates of the parameters of uncertainty distributions used in risk and reliability models.