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BOOK EXCERPT:
Contains references to documents in the NASA Scientific and Technical (STI) Database.
Product Details :
Genre |
: Reliability (Engineering) |
Author |
: |
Publisher |
: |
Release |
: 2000 |
File |
: 88 Pages |
ISBN-13 |
: NASA:31769000658735 |
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BOOK EXCERPT:
Product Details :
Genre |
: Nuclear power plants |
Author |
: United States. General Accounting Office |
Publisher |
: |
Release |
: 1985 |
File |
: 108 Pages |
ISBN-13 |
: UIUC:30112029019624 |
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BOOK EXCERPT:
Product Details :
Genre |
: Nuclear facilities |
Author |
: U.S. Nuclear Regulatory Commission. Division of Risk Analysis |
Publisher |
: |
Release |
: 1984 |
File |
: 360 Pages |
ISBN-13 |
: UOM:39015034394745 |
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BOOK EXCERPT:
Highlights the multi-disciplinary nature of probabilistic risk and hazard assessment procedures. Topics covered include: Hazard scenario analyses (e.g. HAZOP, FMEA); probabilistic risk assessments; consequence modelling; structural reliability; human error; uncertainty analyses; and risk assessment. Topics are related to the design, construction & operation of chemical & process plants; nuclear facilities; bridges; buildings; offshore structures; dams.
Product Details :
Genre |
: Technology & Engineering |
Author |
: R.E. Melchers |
Publisher |
: Taylor & Francis |
Release |
: 2022-04-19 |
File |
: 264 Pages |
ISBN-13 |
: 9781351421645 |
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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.
Product Details :
Genre |
: Technology & Engineering |
Author |
: Hiromitsu Kumamoto |
Publisher |
: Springer Science & Business Media |
Release |
: 2007-05-31 |
File |
: 263 Pages |
ISBN-13 |
: 9781846286827 |
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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.
Product Details :
Genre |
: Business & Economics |
Author |
: Tarannom Parhizkar |
Publisher |
: Springer Nature |
Release |
: 2021-11-26 |
File |
: 170 Pages |
ISBN-13 |
: 9783030880989 |
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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.
Product Details :
Genre |
: Technology & Engineering |
Author |
: Dana Kelly |
Publisher |
: Springer Science & Business Media |
Release |
: 2011-08-30 |
File |
: 230 Pages |
ISBN-13 |
: 9781849961875 |
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BOOK EXCERPT:
A graduate level textbook on probabilistic risk analysis, aimed at statisticians, operations researchers and engineers.
Product Details :
Genre |
: Mathematics |
Author |
: Tim Bedford |
Publisher |
: Cambridge University Press |
Release |
: 2001-04-30 |
File |
: 228 Pages |
ISBN-13 |
: 0521773202 |
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BOOK EXCERPT:
The book shows how risk, defined as the statistical expectation of loss, can be formally decomposed as the product of two terms: hazard probability and system vulnerability. This requires a specific definition of vulnerability that replaces the many fuzzy definitions abounding in the literature. The approach is expanded to more complex risk analysis with three components rather than two, and with various definitions of hazard. Equations are derived to quantify the uncertainty of each risk component and show how the approach relates to Bayesian decision theory. Intended for statisticians, environmental scientists and risk analysts interested in the theory and application of risk analysis, this book provides precise definitions, new theory, and many examples with full computer code. The approach is based on straightforward use of probability theory which brings rigour and clarity. Only a moderate knowledge and understanding of probability theory is expected from the reader.
Product Details :
Genre |
: Mathematics |
Author |
: Marcel van Oijen |
Publisher |
: Springer Nature |
Release |
: 2022-11-23 |
File |
: 118 Pages |
ISBN-13 |
: 9783031163333 |
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BOOK EXCERPT:
Risk assessments are often used by the federal government to estimate the risk the public may face from such things as exposure to a chemical or the potential failure of an engineered structure, and they underlie many regulatory decisions. Last January, the White House Office of Management and Budget (OMB) issued a draft bulletin for all federal agencies, which included a new definition of risk assessment and proposed standards aimed at improving federal risk assessments. This National Research Council report, written at the request of OMB, evaluates the draft bulletin and supports its overall goals of improving the quality of risk assessments. However, the report concludes that the draft bulletin is "fundamentally flawed" from a scientific and technical standpoint and should be withdrawn. Problems include an overly broad definition of risk assessment in conflict with long-established concepts and practices, and an overly narrow definition of adverse health effects-one that considers only clinically apparent effects to be adverse, ignoring other biological changes that could lead to health effects. The report also criticizes the draft bulletin for focusing mainly on human health risk assessments while neglecting assessments of technology and engineered structures.
Product Details :
Genre |
: Political Science |
Author |
: National Research Council |
Publisher |
: National Academies Press |
Release |
: 2007-04-16 |
File |
: 302 Pages |
ISBN-13 |
: 9780309178884 |