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Reliability and Safety Assessment of Dynamic Process Systems
Current issues and approaches in the reliability and safety analysis of dynamic process systems are the subject of this book. The authors of the chapters are experts from nuclear, chemical, mechanical, aerospace and defense system industries, and from institutions including universities, national laboratories, private consulting companies, and regulatory bodies. Both the conventional approaches and dynamic methodologies which explicitly account for the time element in system evolution in failure modeling are represented. The papers on conventional approaches concentrate on the modeling of dynamic effects and the need for improved methods. The dynamic methodologies covered include the DYLAM methodology, the theory of continuous event trees, several Markov model construction procedures, Monte Carlo simulation, and utilization of logic flowgraphs in conjunction with Petri nets. Special emphasis is placed on human factors such as procedures and training.
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Human Reliability and Safety Analysis Data Handbook
Takes into account the human element as well as the classical aspects of mechanical, electrical and chemical designs that contribute to risk. Features a significant amount of data essential for risk analysis not normally available. Contains numerous examples of authentic applications and case studies.
Objective Bayesian Inference
Bayesian analysis is today understood to be an extremely powerful method of statistical analysis, as well an approach to statistics that is particularly transparent and intuitive. It is thus being extensively and increasingly utilized in virtually every area of science and society that involves analysis of data.A widespread misconception is that Bayesian analysis is a more subjective theory of statistical inference than what is now called classical statistics. This is true neither historically nor in practice. Indeed, objective Bayesian analysis dominated the statistical landscape from roughly 1780 to 1930, long before 'classical' statistics or subjective Bayesian analysis were developed. It...
Probabilistic Risk Assessment
Contains references to documents in the NASA Scientific and Technical (STI) Database.
System Reliability Theory
Handbook and reference for industrial statisticians and system reliability engineers System Reliability Theory: Models, Statistical Methods, and Applications, Third Edition presents an updated and revised look at system reliability theory, modeling, and analytical methods. The new edition is based on feedback to the second edition from numerous students, professors, researchers, and industries around the world. New sections and chapters are added together with new real-world industry examples, and standards and problems are revised and updated. System Reliability Theory covers a broad and deep array of system reliability topics, including: · In depth discussion of failures and failure modes...
Risk Assessment
Introduces risk assessment with key theories, proven methods, and state-of-the-art applications Risk Assessment: Theory, Methods, and Applications remains one of the few textbooks to address current risk analysis and risk assessment with an emphasis on the possibility of sudden, major accidents across various areas of practice—from machinery and manufacturing processes to nuclear power plants and transportation systems. Updated to align with ISO 31000 and other amended standards, this all-new 2nd Edition discusses the main ideas and techniques for assessing risk today. The book begins with an introduction of risk analysis, assessment, and management, and includes a new section on the histo...
