This book presents the state-of-the-art of reliability engineering, both in theory and practice. It provides design guidelines for reliability, maintainability, and software quality. This is a textbook establishing a link between theory and practice, with a large number of tables, figures, and examples to support the practical aspects. This allows rapid access to practical results. The book is based on over 30 years of industrial and academic experience.
Expanding on the coverage provided in Volume 1, this volume covers the prediction of equipment and system reliability for the series, parallel, standby, and conditional function configuration cases and discusses the prediction of the reliability of complex components, equipment, and systems with multimode function and logic, among others.
An Integrated Approach to Product Development Reliability Engineering presents an integrated approach to the design, engineering, and management of reliability activities throughout the life cycle of a product, including concept, research and development, design, manufacturing, assembly, sales, and service. Containing illustrative guides that include worked problems, numerical examples, homework problems, a solutions manual, and class-tested materials, it demonstrates to product development and manufacturing professionals how to distribute key reliability practices throughout an organization. The authors explain how to integrate reliability methods and techniques in the Six Sigma process and Design for Six Sigma (DFSS). They also discuss relationships between warranty and reliability, as well as legal and liability issues. Other topics covered include: Reliability engineering in the 21st Century Probability life distributions for reliability analysis Process control and process capability Failure modes, mechanisms, and effects analysis Health monitoring and prognostics Reliability tests and reliability estimation Reliability Engineering provides a comprehensive list of references on the topics covered in each chapter. It is an invaluable resource for those interested in gaining fundamental knowledge of the practical aspects of reliability in design, manufacturing, and testing. In addition, it is useful for implementation and management of reliability programs.
Product reliability engineering from concept to marketplace In today's global, competitive business environment, reliability professionals are continually challenged to improve reliability, shorten design cycles, reduce costs, and increase customer satisfaction. "Life Cycle Reliability Engineering" details practical, effective, and up-to-date techniques to assure reliability throughout the product life cycle, from planning and designing through testing and warranting performance. These techniques allow ongoing quality initiatives, including those based on Six Sigma and the Taguchi methods, to yield maximized output. Complete with real-world examples, case studies, and exercises, this resource covers: Reliability definition, metrics, and product life distributions (exponential, Weibull, normal, lognormal, and more) Methodologies, tools, and practical applications of system reliability modeling and allocation Robust reliability design techniques Potential failure mode avoidance, including Failure Mode and Effects Analysis (FMEA) and Fault Tree Analysis (FTA) Accelerated life test methods, models, plans, and data analysis techniques Degradation testing and data analysis methods, covering both destructive and nondestructive inspections Practical methodologies for reliability verification and screening Warranty policies, data analysis, field failure monitoring, and warranty cost reduction All reliability techniques described are immediately applicable to product planning, designing, testing, stress screening, and warranty analysis. This book is a must-have resource for engineers and others responsible for reliability and quality and for graduate students in quality and reliability engineering courses.
New Metaheuristics, Neural and Fuzzy Techniques in Reliability
Author: Gregory Levitin
Publisher: Springer Science & Business Media
This volume includes chapters presenting applications of different metaheuristics in reliability engineering, including ant colony optimization, great deluge algorithm, cross-entropy method and particle swarm optimization. It also presents chapters devoted to cellular automata and support vector machines, and applications of artificial neural networks, a powerful adaptive technique that can be used for learning, prediction and optimization. Several chapters describe aspects of imprecise reliability and applications of fuzzy and vague set theory.
An introduction and explanation of pragmatic methods and techniques for reliability and risk studies, and a discussion of their uses and limitations. It features computer software that illustrates numerous examples found in the book, offering to help engineers and students solve problems. There is a module on Bayesian estimation. The computer disk is written in Visual Basic and is compatible with Microsoft Excel spreadsheets.
This compact and easy-to-understand text presents the underlying principles and practice of reliability engineering and life testing. It describes the various techniques available for reliability analysis and prediction and explains the statistical methods necessary for reliability modelling, analysis and estimation. The text also discusses in detail the concepts of life testing, its classification and methodologies as well as accelerated life tests, the methodologies and models of stress related failure rates evaluation, and data analysis. Besides, it elaborates on the principles, methods and equipment of highly accelerated life testing and highly accelerated stress screening. Finally, the book concludes with a discussion on the parametric as well as non-parametric methods generally used for reliability estimation, and the recent developments in life testing of engineering components. Key Features The book is up-to-date and very much relevant to the present industrial, research, design, and development scenarios. Provides adequate tools to predict the system reliability at the design stage, to plan and conduct life testing on the products at various stages of development, and to use the life test and field data to estimate the product reliability. Gives sufficiently large number of worked-out examples. Primarily intended as a textbook for the postgraduate students of engineering (M.Tech., Reliability Engineering), the book would also be quite useful for reliability practitioners, professional engineers, and researchers.
With emphasis on practical aspects of engineering, this bestseller has gained worldwide recognition through progressive editions as the essential reliability textbook. This fifth edition retains the unique balanced mixture of reliability theory and applications, thoroughly updated with the latest industry best practices. Practical Reliability Engineering fulfils the requirements of the Certified Reliability Engineer curriculum of the American Society for Quality (ASQ). Each chapter is supported by practice questions, and a solutions manual is available to course tutors via the companion website. Enhanced coverage of mathematics of reliability, physics of failure, graphical and software methods of failure data analysis, reliability prediction and modelling, design for reliability and safety as well as management and economics of reliability programmes ensures continued relevance to all quality assurance and reliability courses. Notable additions include: New chapters on applications of Monte Carlo simulation methods and reliability demonstration methods. Software applications of statistical methods, including probability plotting and a wider use of common software tools. More detailed descriptions of reliability prediction methods. Comprehensive treatment of accelerated test data analysis and warranty data analysis. Revised and expanded end-of-chapter tutorial sections to advance students’ practical knowledge. The fifth edition will appeal to a wide range of readers from college students to seasoned engineering professionals involved in the design, development, manufacture and maintenance of reliable engineering products and systems. www.wiley.com/go/oconnor_reliability5
Life-Cycle Cost Analysis for Sustainability & Logistical Support
Author: William R. Wessels
Publisher: CRC Press
Category: Technology & Engineering
How Can Reliability Analysis Impact Your Company’s Bottom Line? While reliability investigations can be expensive, they can also add value to a product that far exceeds its cost. Affordable Reliability Engineering: Life-Cycle Cost Analysis for Sustainability & Logistical Support shows readers how to achieve the best cost for design development testing and evaluation and compare options for minimizing costs while keeping reliability above specifications. The text is based on the premise that all system sustainment costs result from part failure. It examines part failure in the design and sustainment of fielded parts and outlines a design criticality analysis procedure that reflects system design and sustainment. Achieve the Best Cost for Life-Cycle Sustainment Providing a framework for managers and engineers to develop and implement a reliability program for their organizations, the authors present the practicing professional with the tools needed to manage a system at a high reliability at the best cost. They introduce analytical methods that provide the methodology for integrating part reliability, failure, maintainability, and logistic math models. In addition, they include examples on how to run reliability simulations, highlight tools that are commercially available for such analysis, and explain the process required to ensure a design will meet specifications and minimize costs in the process. This text: Demonstrates how to use information gathered from reliability investigations Provides engineers and managers with an understanding of a reliability engineering program so that they can perform reliability analyses Seeks to resolve uncertainty and establish the value of reliability engineering Affordable Reliability Engineering: Life-Cycle Cost Analysis for Sustainability & Logistical Support focuses on reliability-centered maintenance and is an ideal resource for reliability engineers and managers. This text enables reliability professionals to determine the lowest life-cycle costs for part selection, design configuration options, and the implementation of maintenance practices, as well as spare parts strategies, and logistical resources.
A newly revised and updated edition that details both thetheoretical foundations and practical applications of reliabilityengineering Reliability is one of the most important quality characteristicsof components, products, and large and complex systems—but ittakes a significant amount of time and resources to bringreliability to fruition. Thoroughly classroom- and industry-tested,this book helps ensure that engineers see reliability success withevery product they design, test, and manufacture. Divided into three parts, Reliability Engineering, SecondEdition handily describes the theories and their practical useswhile presenting readers with real-world examples and problems tosolve. Part I focuses on system reliability estimation for timeindependent and failure dependent models, helping engineers createa reliable design. Part II aids the reader in assembling necessarycomponents and configuring them to achieve desired reliabilityobjectives, conducting reliability tests on components, and usingfield data from similar components. Part III follows what happensonce a product is produced and sold, how the manufacturer mustensure its reliability objectives by providing preventive andscheduled maintenance and warranty policies. This Second Edition includes in-depth and enhancedchapter coverage of: Reliability and Hazard Functions System Reliability Evaluation Time- and Failure-Dependent Reliability Estimation Methods of the Parameters of Failure-TimeDistributions Parametric Reliability Models Models for Accelerated Life Testing Renewal Processes and Expected Number of Failures Preventive Maintenance and Inspection Warranty Models Case Studies A comprehensive reference for practitioners and professionals inquality and reliability engineering, Reliability Engineeringcan also be used for senior undergraduate or graduate courses inindustrial and systems, mechanical, and electrical engineeringprograms.
Providing a comprehensive approach to both the art and science of reliability engineering, this volume covers all aspects of the field, from basic concepts to accelerated testing, including SPC, designed experiments, human factors, and reliability management. It also presents the theory of reliability systems and its application as prescribed by industrial and government standards.
This book gives a practical guide for designers and users in Information and Communication Technology context. In particular, in the first Section, the definition of the fundamental terms according to the international standards are given. Then, some theoretical concepts and reliability models are presented in Chapters 2 and 3: the aim is to evaluate performance for components and systems and reliability growth. Chapter 4, by introducing the laboratory tests, puts in evidence the reliability concept from the experimental point of view. In ICT context, the failure rate for a given system can be evaluate by means of specific reliability prediction handbooks; this aspect is considered in Chapter 5, with practical applications. In Chapters 6, 7 and 8, the more complex aspects regarding both the Maintainability, Availability and Dependability are taken into account; in particular, some fundamental techniques such as FMECA (Failure Mode, Effects, and Criticality Analysis) and FTA (Fault Tree Analysis) are presented with examples for reparable systems.
Modern society depends heavily upon a host of systems of varying complexity to perform the services required. The importance of reliability assumes new dimensions, primarily because of the higher cost of these highly complex machines required by mankind and the implication of their failure. This is why all industrial organizations wish to equip their scientists, engineers, managers and administrators with a knowledge of reliability concepts and applications. Based on the author's 20 years experience as reliability educator, researcher and consultant, Reliability Engineering introduces the reader systematically to reliability evaluation, prediction, allocation and optimization. It also covers further topics, such as maintainability and availability, software reliability, economics of reliability, reliability management, reliability testing, etc. A reliability study of some typical systems has been included to introduce the reader to the practical aspects. The book is intended for graduate students of engineering schools and also professional engineers, managers and reliability administrators as it has a wide coverage of reliability concepts.
Proven statistical reliability analysis methods-available for the first time to engineers in the West While probabilistic methods of system reliability analysis have reached an unparalleled degree of refinement, Russian engineers have concentrated on developing more advanced statistical methods. Over the past several decades, their efforts have yielded highly evolved statistical models that have proven to be especially valuable in the estimation of reliability based upon tests of individual units of systems. Now Statistical Reliability Engineering affords engineers a unique opportunity to learn both the theory behind and applications of those statistical methods. Written by three leading innovators in the field, Statistical Reliability Engineering: * Covers all mathematical models for statistical reliability analysis, including Bayesian estimation, accelerated testing, and Monte Carlo simulation * Focuses on the estimation of various measures of system reliability based on the testing of individual units * Contains new theoretical results available for the first time in print * Features numerous examples demonstrating practical applications of the theory presented Statistical Reliability Engineering is an important professional resource for reliability and design engineers, especially those in the telecommunications and electronics industries. It is also an excellent course text for advanced courses in reliability engineering.
An effective reliability programme is an essential component of every product's design, testing and efficient production. From the failure analysis of a microelectronic device to software fault tolerance and from the accelerated life testing of mechanical components to hardware verification, a common underlying philosophy of reliability applies. Defining both fundamental and applied work across the entire systems reliability arena, this state-of-the-art reference presents methodologies for quality, maintainability and dependability. Featuring: Contributions from 60 leading reliability experts in academia and industry giving comprehensive and authoritative coverage. A distinguished international Editorial Board ensuring clarity and precision throughout. Extensive references to the theoretical foundations, recent research and future directions described in each chapter. Comprehensive subject index providing maximum utility to the reader. Applications and examples across all branches of engineering including IT, power, automotive and aerospace sectors. The handbook's cross-disciplinary scope will ensure that it serves as an indispensable tool for researchers in industrial, electrical, electronics, computer, civil, mechanical and systems engineering. It will also aid professional engineers to find creative reliability solutions and management to evaluate systems reliability and to improve processes. For student research projects it will be the ideal starting point whether addressing basic questions in communications and electronics or learning advanced applications in micro-electro-mechanical systems (MEMS), manufacturing and high-assurance engineering systems.
This book is a collective work by many leading scientists, analysts, mathematicians, and engineers who have been working at the front end of reliability science and engineering. The book covers conventional and contemporary topics in reliability science, all of which have seen extended research activities in recent years. The methods presented in this book are real-world examples that demonstrate improvements in essential reliability and availability for industrial equipment such as medical magnetic resonance imaging, power systems, traction drives for a search and rescue helicopter, and air conditioning systems. The book presents real case studies of redundant multi-state air conditioning systems for chemical laboratories and covers assessments of reliability and fault tolerance and availability calculations. Conventional and contemporary topics in reliability engineering are discussed, including degradation, networks, dynamic reliability, resilience, and multi-state systems, all of which are relatively new topics to the field. The book is aimed at engineers and scientists, as well as postgraduate students involved in reliability design, analysis, experiments, and applied probability and statistics.
Without proper reliability and maintenance planning, even the most efficient and seemingly cost-effective designs can incur enormous expenses due to repeated or catastrophic failure and subsequent search for the cause. Today’s engineering students face increasing pressure from employers, customers, and regulators to produce cost-efficient designs that are less prone to failure and that are safe and easy to use. An understanding of reliability principles and maintenance planning can help accomplish these conflicting goals. Presenting an integrated approach to reliability evaluation and maintenance planning, Reliability Engineering: Probabilistic Models and Maintenance Methods provides comprehensive coverage of the fundamental concepts of reliability theory, basic models, and various methods of analysis. It contains numerous examples and homework problems in each chapter. The first six chapters sequentially outline each basic concept of reliability theory, followed by two chapters on commonly used statistical methods for evaluating component reliability. The book concludes with five chapters on repairable systems and maintenance planning, a chapter devoted to special topics such as warranties, and appendices on numerical computation. With an accessible blend of mathematical rigor and readability, Reliability Engineering is the ideal introductory textbook for graduate students in reliability theory and engineering, repairable systems analysis, operations research methods, and applied random processes.
Practical tools for analyzing, calculating, and reportingavailability, reliability, and maintainability metrics Engineers in the telecommunications industry must be able toquantify system reliability and availability metrics for use inservice level agreements, system design decisions, and dailyoperations. Increasing system complexity and software dependencerequire new, more sophisticated tools for system modeling andmetric calculation than those available in the currentliterature. Telecommunications System Reliability Engineering, Theory,and Practice provides a background in reliability engineeringtheory as well as detailed sections discussing applications tofiber optic networks (earth station and space segment), microwavenetworks (long-haul, cellular backhaul and mobile wireless),satellite networks (teleport and VSAT), power systems (generators,commercial power and battery systems), facilities management, andsoftware/firmware. Programming techniques and examples forsimulation of the approaches presented are discussed throughout thebook. This powerful resource: Acts as a comprehensive reference and textbook for analysis anddesign of highly reliable and available telecommunicationssystems Bridges the fields of system reliability theory,telecommunications system engineering, and computerprogramming Translates abstract reliability theory concepts into practicaltools and techniques for technical managers, engineers andstudents Provides telecommunication engineers with a holisticunderstanding of system reliability theory, telecommunicationssystem engineering, and reliability/risk analysisTelecommunications System Reliability Engineering, Theory, andPractice is a must-have guide for telecommunications engineers orengineering students planning to work in the field oftelecommunications Telecommunications System Reliability Engineering, Theory,and Practice is a must-have guide for telecommunicationsengineers or engineering students planning to work in the field oftelecommunications.