Anne Barros

Marvin Rausand

Arnljot Hoyland

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 · The main system reliability assessment methods · Common-cause failure modeling · Deterioration modeling · Maintenance modeling and assessment using Python code · Bayesian probability and methods · Life data analysis using R Perfect for undergraduate and graduate students taking courses in reliability engineering, this book also serves as a reference and resource for practicing statisticians and engineers. Throughout, the book has a practical focus, incorporating industry feedback and real-world industry problems and examples.

Models, Statistical Methods, and Applications

System Reliability Theory

Presents the theory and methodology for reliabilityassessments of safety-critical functions through examples from awide range of applications Reliability of Safety-Critical Systems: Theory andApplications provides a comprehensive introduction toreliability assessments of safety-related systems based onelectrical, electronic, and programmable electronic (E/E/PE)technology. With a focus on the design and development phases ofsafety-critical systems, the book presents theory and methodsrequired to document compliance with IEC 61508 and the associatedsector-specific standards. Combining theory and practical applications, Reliability ofSafety-Critical Systems: Theory and Applications implements keysafety-related strategies and methods to meet quantitative safetyintegrity requirements. In addition, the book details a variety ofreliability analysis methods that are needed during all stages of asafety-critical system, beginning with specification and design andadvancing to operations, maintenance, and modification control. Thekey categories of safety life-cycle phases are featured, includingstrategies for the allocation of reliability performancerequirements; assessment methods in relation to design; andreliability quantification in relation to operation andmaintenance. Issues and benefits that arise from complex moderntechnology developments are featured, as well as: Real-world examples from large industry facilities with majoraccident potential and products owned by the general public such ascars and tools Plentiful worked examples throughout that provide readers witha deeper understanding of the core concepts and aid in the analysisand solution of common issues when assessing all facets ofsafety-critical systems Approaches that work on a wide scope of applications and can beapplied to the analysis of any safety-critical system A brief appendix of probability theory for reference With an emphasis on how safety-critical functions are introducedinto systems and facilities to prevent or mitigate the impact of anaccident, this book is an excellent guide for professionals,consultants, and operators of safety-critical systems who carry outpractical, risk, and reliability assessments of safety-criticalsystems. Reliability of Safety-Critical Systems: Theory andApplications is also a useful textbook for courses inreliability assessment of safety-critical systems and reliabilityengineering at the graduate-level, as well as for consultingcompanies offering short courses in reliability assessment ofsafety-critical systems.

Theory and Applications

Reliability of Safety-Critical Systems

Arnljot Høyland

A comprehensive introduction to reliability analysis. The first section provides a thorough but elementary prologue to reliability theory. The latter half comprises more advanced analytical tools including Markov processes, renewal theory, life data analysis, accelerated life testing and Bayesian reliability analysis. Features numerous worked examples. Each chapter concludes with a selection of problems plus additional material on applications.

Models and Statistical Methods

An introduction to risk assessment that utilizes key theory andstate-of-the-art applications With its balanced coverage of theory and applications along withstandards and regulations, Risk Assessment: Theory, Methods, andApplications serves as a comprehensive introduction to thetopic. The book serves as a practical guide to current riskanalysis and risk assessment, emphasizing the possibility ofsudden, major accidents across various areas of practice frommachinery and manufacturing processes to nuclear power plants andtransportation systems. The author applies a uniform framework to the discussion of eachmethod, setting forth clear objectives and descriptions, while alsoshedding light on applications, essential resources, and advantagesand disadvantages. Following an introduction that provides anoverview of risk assessment, the book is organized into twosections that outline key theory, methods, and applications. Introduction to Risk Assessment defines key concepts anddetails the steps of a thorough risk assessment along with thenecessary quantitative risk measures. Chapters outline the overallrisk assessment process, and a discussion of accident models andaccident causation offers readers new insights into how and whyaccidents occur to help them make better assessments. Risk Assessment Methods and Applications carefullydescribes the most relevant methods for risk assessment, includingpreliminary hazard analysis, HAZOP, fault tree analysis, and eventtree analysis. Here, each method is accompanied by a self-containeddescription as well as workflow diagrams and worksheets thatillustrate the use of discussed techniques. Important problem areasin risk assessment, such as barriers and barrier analysis, humanerrors, and human reliability, are discussed along with uncertaintyand sensitivity analysis. Each chapter concludes with a listing of resources for furtherstudy of the topic, and detailed appendices outline main resultsfrom probability and statistics, related formulas, and a listing ofkey terms used in risk assessment. A related website featuresproblems that allow readers to test their comprehension of thepresented material and supplemental slides to facilitate thelearning process. Risk Assessment is an excellent book for courses on riskanalysis and risk assessment at the upper-undergraduate andgraduate levels. It also serves as a valuable reference forengineers, researchers, consultants, and practitioners who use riskassessment techniques in their everyday work.

Theory, Methods, and Applications

Risk Assessment

Stein Haugen

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 history of risk analysis. It covers hazards and threats, how to measure and evaluate risk, and risk management. It also adds new sections on risk governance and risk-informed decision making; combining accident theories and criteria for evaluating data sources; and subjective probabilities. The risk assessment process is covered, as are how to establish context; planning and preparing; and identification, analysis, and evaluation of risk. Risk Assessment also offers new coverage of safe job analysis and semi-quantitative methods, and it discusses barrier management and HRA methods for offshore application. Finally, it looks at dynamic risk analysis, security and life-cycle use of risk. Serves as a practical and modern guide to the current applications of risk analysis and assessment, supports key standards, and supplements legislation related to risk analysis Updated and revised to align with ISO 31000 Risk Management and other new standards and includes new chapters on security, dynamic risk analysis, as well as life-cycle use of risk analysis Provides in-depth coverage on hazard identification, methodologically outlining the steps for use of checklists, conducting preliminary hazard analysis, and job safety analysis Presents new coverage on the history of risk analysis, criteria for evaluating data sources, risk-informed decision making, subjective probabilities, semi-quantitative methods, and barrier management Contains more applications and examples, new and revised problems throughout, and detailed appendices that outline key terms and acronyms Supplemented with a book companion website containing Solutions to problems, presentation material and an Instructor Manual Risk Assessment: Theory, Methods, and Applications, Second Edition is ideal for courses on risk analysis/risk assessment and systems engineering at the upper-undergraduate and graduate levels. It is also an excellent reference and resource for engineers, researchers, consultants, and practitioners who carry out risk assessment techniques in their everyday work.

Marvin Rausand

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