Reliability engineering Books

Book SynopsisDieses Buch hilft Ihnen, die Methodik FMEA sowie die angrenzenden Themen zu verstehen und anzuwenden. Es räumt mit dem Vorurteil auf, FMEA wäre „nur“ ein Qualitätstool, das von Qualitätsspezialisten durchgeführt wird. Vielmehr kann die FMEA in jeder Branche als Werkzeug benutzt werden, um Produkte, Projekte, Aufgaben und Dienstleistungen äußerst planbar, nachvollziehbar und zielorientiert umzusetzen. Das strukturierte Vorgehen unterstützt Problemlösungen und schafft somit neue Denkansätze (präventive Qualitätssicherungsmethodik und Risikoanalyse). Bei richtiger Anwendung werden Sie Zeit, Geld und Kapazität einsparen.Table of ContentsEinführung in das Thema.–Methodik Grundlagen.–Moderationstechnik.–nachhaltige Einführung im Betrieb.–Stolpersteine in der Praxis (oder: Wie bringe ich eine FMEA sicher zum Scheitern).–Software.–Produkthaftung in Deutschland.–Methoden und Begriffe im Umfeld.–Tipps, Tricks und Tools.–Vision.

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Book Synopsis'Sustainment' (as commonly defined by industry and government), is comprised of maintenance, support, and upgrade practices that sustain or improve the performance of a system and maximize the availability of goods and services while minimizing their cost and footprint or, more simply, the capacity of a system to endure. Sustainment is a multi-trillion-dollar enterprise for critical systems, in both government (infrastructure and defense) and industry (transportation, industrial controls, data centers, and energy generation).This book is a mix of engineering, operations research, and policy sciences intended to provide students with a thorough understanding of the concept of sustainability and sustainable product life-cycles, and an appreciation of the importance of sustaining critical systems. It starts from the key attributes for system sustainment that includes data analytics, engineering analysis and the public policy needed to support the development of technologies, processes, and frameworks required for the management of sustainable processes and practices. The specific topics covered include: acquisition of critical systems, reliability, maintenance, availability, readiness, inventory management, supply-chain management and risks, contracting for sustainment, and various analysis methodologies (discounted cash flow analysis, discrete-event simulation and Monte Carlo methods). Practice problems are included at the end of each chapter.

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Book SynopsisThe book comprehensively covers the various aspects of risk modeling and analysis in technological contexts. It pursues a systems approach to modeling risk and reliability concerns in engineering, and covers the key concepts of risk analysis and mathematical tools used to assess and account for risk in engineering problems. The relevance of incorporating risk-based structures in design and operations is also stressed, with special emphasis on the human factor and behavioral risks. The book uses the nuclear plant, an extremely complex and high-precision engineering environment, as an example to develop the concepts discussed. The core mechanical, electronic and physical aspects of such a complex system offer an excellent platform for analyzing and creating risk-based models. The book also provides real-time case studies in a separate section to demonstrate the use of this approach. There are many limitations when it comes to applications of risk-based approaches to engineering problems. The book is structured and written in a way that addresses these key gap areas to help optimize the overall methodology. This book serves as a textbook for graduate and advanced undergraduate courses on risk and reliability in engineering. It can also be used outside the classroom for professional development courses aimed at practicing engineers or as an introduction to risk-based engineering for professionals, researchers, and students interested in the field.Table of ContentsPreface.- Chapter 1: Introduction.- Chapter 2: Risk Characterization.- Chapter 3: Probabilistic Approach to Reliability Engineering.- Chapter 4: System Reliability Modelling.- Chapter 5: Life Prediction.- Chapter 6: Probabilistic Risk Assessment.- Chapter 7: Risk-based Design.- Chapter 8: Fatigue and Fracture Risk Assessment- A Probabilistic Framework.- Chapter 9: Uncertainty Modeling.- Chapter 10: Human Reliability Analysis.- Chapter 11: Digital system reliability.- Chapter 12: Physics of Failure.- Chapter 13: Prognostics and Health Management.- Chapter 14: Risk Informed Decisions.- Chapter 15: Risk-based / Risk-informed Applications.- Appendix: Statistical Tables.

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Book SynopsisAs our modern information-age society grows in complexity both in terms of embedded systems and applications, the problems and challenges in reliability become ever more complex. Bringing together many of the leading experts in the field, this volume presents a broad picture of current research on system modeling and optimization in reliability and its applications.The book comprises twenty-three chapters organized into four parts: Reliability Modeling, Software Quality Engineering, Software Reliability, and Maintenance and Inspection Policies. These sections cover a wide range of important topics, including system reliability modeling, optimization, software reliability and quality, maintenance theory and inspection, reliability failure analysis, sampling plans and schemes, software development processes and improvement, stochastic process modeling, statistical distributions and analysis, fault-tolerant performance, software measurements and cost effectiveness, queueing theory and applications, system availability, reliability of repairable systems, testing sampling inspection, software capability maturity model, accelerated life modeling, statistical control, and HALT testing.Trade Review"The editor has done a good job in partitioning the material in four parts." Journal of Quality TechnologyTable of ContentsReliability Modeling: Optimal Checkpointing Interval for Task Duplication with Spare Processing (S Nakagawa et al.); Optimal Interval of CRL Issue in PKI Architecture (M Arafuka et al.); Applying Accelerated Life Models to HALT Testing (F Guerin et al.); Software Quality Engineering: Measurement of Object-Oriented Software Understandability Using Spatial Complexity (J K Chhabra et al.); An Approach to Quantifying Process Cost and Quality (G Twaites & C Hoffman); Software Process Improvement Activities Based on CMM (T Fujiwara & S Yamada); Software Reliability Modeling: A Two-Level Continuous Sampling Plan for Software Systems (S Hwang & H Pham); An Extended Delayed S-Shaped Software Reliability Growth Model Based on Infinite Server Queueing Theory (S Inoue & S Yamada); Disappointment Probability Based on the Number of Debuggings for Operational Software Availability Measurement (Y Saitoh et al.); Maintenance and Inspection Policies: Optimal Random and Periodic Inspection Policies (T Sugiura et al.); Screening Scheme for High Performance Products (W-T Cheong & L-C Tang); Age-Dependent Failure Interaction (Q Zhao et al.); and other papers.

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Book SynopsisThis book provides a comprehensive overview of recent advances in the analysis and design of health management systems for cooperating unmanned aerial vehicles. Such systems rely upon monitoring and fault adaptation schemes. Motivation for their study comes from the fact that, despite the use of fault-tolerant control software and hardware embedded onboard air vehicles, overall fleet performance may still be degraded after the occurrence of anomalous events such as systems faults and failures. Cooperative health management (CHM) systems seek to provide adaptation to the presence of faults by capitalizing on the availability of interconnected computing, sensing and actuation resources.This monograph complements the proposed CHM concepts by means of case studies and application examples. It presents fundamental principles and results encompassing optimization, systems theory, information theory, dynamics, modeling and simulation. Written by pioneers in cooperative control, health management and fault-tolerant control for unmanned systems, this book is a unique source of information for designers, researchers and practitioners interested in the field.Table of ContentsUnmanned Aerial Vehicles; Actuator Faults and Failures; Body Damage; Guidance and Control; Cooperative Control; Health Management for Individual Vehicles; Health Monitoring and Adaptation for Fleets of Vehicles; Formation Flight; Detection of Anomalies; Team Adaptation; Path Planning; Network Mishaps; Online Decision-Making; Systems Implementation and Integration.

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Book SynopsisThis book illustrates a number of modelling and computational techniques for addressing relevant issues in reliability and risk analysis. In particular, it provides: i) a basic illustration of some methods used in reliability and risk analysis for modelling the stochastic failure and repair behaviour of systems, e.g. the Markov and Monte Carlo simulation methods; ii) an introduction to Genetic Algorithms, tailored to their application for RAMS (Reliability, Availability, Maintainability and Safety) optimization; iii) an introduction to key issues of system reliability and risk analysis, like dependent failures and importance measures; and iv) a presentation of the issue of uncertainty and of the techniques of sensitivity and uncertainty analysis used in support of reliability and risk analysis.The book provides a technical basis for senior undergraduate or graduate courses and a reference for researchers and practitioners in the field of reliability and risk analysis. Several practical examples are included to demonstrate the application of the concepts and techniques in practice.Table of ContentsMarkov Reliability and Availability Analysis; Monte Carlo Simulations for Reliability and Availability Analysis; Markov Chain Monte Carlo for Applications to Reliability and Availability Analysis; Basics of Genetic Algorithms with Application to System Reliability and Availability Optimization; Dependent Failures; Importance Measures; Basic Concepts of Uncertainty and Sensitivity Analysis.

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Book SynopsisThe development of Reliability and Maintenance theory and applications has become major concerns of engineers and managers engaged in order to design and product systems that are highly reliable. This book aims to cover the ongoing research topics in computer system, reliability analysis, reliability applications and maintenance policies, so as to provide awareness for those who engage systems design, being students, technicians, or research engineers, as a reference guidebook.

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Book SynopsisReliability and safety are fundamental attributes of any modern technological system. To achieve this, diverse types of protection barriers are placed as safeguards from the hazard posed by the operation of the system, within a multiple-barrier design concept. These barriers are intended to protect the system from failures of any of its elements, hardware, software, human and organizational.Correspondingly, the quantification of the probability of failure of the system and its protective barriers, through reliability and risk analyses, becomes a primary task in both the system design and operation phases.This exercise book serves as a complementary tool supporting the methodology concepts introduced in the books ';An introduction to the basics of reliability and risk analysis'; and ';Computational methods for reliability and risk analysis'; by Enrico Zio, in that it gives an opportunity to familiarize with the applications of classical and advanced techniques of reliability and risk analysis.Table of ContentsSolved Exercises on Methods for Hazard Identification; Basics of Probability Theory for Applications to Reliability and Risk Analysis; Reliability of Simple Systems; Availability and Maintainability; Fault and Event Tree Analysis; Estimation of Reliability Parameters from Experimental Data; Markov Chains.

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Book SynopsisReliability modeling has been a major concern for engineers and managers engaged in high quality system designs. This book presents the recent advancement in reliability theory and reliability engineering.Starting from maintenance policies, the book introduces reliability analysis to systems using stochastic processes to study their optimization problems. In this book, the authors will illustrate how these techniques of reliability are applied to solve optimization problems in computer, information and network systems.Table of ContentsMaintenance Policies; Reliability Analysis; Computer System; Reliability Applications.

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