Books in the Quality and Reliability Engineering Series series

This unique book for quality and reliability engineers, manufacturing process engineers, environmental test engineers and design engineers describes the practical processes necessary to achieve failure-free equipment performance and studies the essential requirements for successful product life-cycle management.

Demonstrates how to solve reliability problems using practical applications of Bayesian modelsThis self-contained reference provides fundamental knowledge of Bayesian reliability and utilizes numerous examples to show how Bayesian models can solve real life reliability problems. It teaches engineers and scientists exactly what Bayesian analysis is, what its benefits are, and how they can apply the methods to solve their own problems. To help readers get started quickly, the book presents many Bayesian models that use JAGS and which require fewer than 10 lines of command. It also offers a number of short R scripts consisting of simple functions to help them become familiar with R coding.Practical Applications of Bayesian Reliability starts by introducing basic concepts of reliability engineering, including random variables, discrete and continuous probability distributions, hazard function, and censored data. Basic concepts of Bayesian statistics, models, reasons, and theory are presented in the following chapter. Coverage of Bayesian computation, Metropolis-Hastings algorithm, and Gibbs Sampling comes next. The book then goes on to teach the concepts of design capability and design for reliability; introduce Bayesian models for estimating system reliability; discuss Bayesian Hierarchical Models and their applications; present linear and logistic regression models in Bayesian Perspective; and more.* Provides a step-by-step approach for developing advanced reliability models to solve complex problems, and does not require in-depth understanding of statistical methodology* Educates managers on the potential of Bayesian reliability models and associated impact* Introduces commonly used predictive reliability models and advanced Bayesian models based on real life applications* Includes practical guidelines to construct Bayesian reliability models along with computer codes for all of the case studies* JAGS and R codes are provided on an accompanying website to enable practitioners to easily copy them and tailor them to their own applicationsPractical Applications of Bayesian Reliability is a helpful book for industry practitioners such as reliability engineers, mechanical engineers, electrical engineers, product engineers, system engineers, and materials scientists whose work includes predicting design or product performance.

A comprehensive guide to the application and processing of condition-based data to produce prognostic estimates of functional health and life.Prognostics and Health Management provides an authoritative guide for an understanding of the rationale and methodologies of a practical approach for improving system reliability using conditioned-based data (CBD) to the monitoring and management of health of systems. This proven approach uses electronic signatures extracted from conditioned-based electrical signals, including those representing physical components, and employs processing methods that include data fusion and transformation, domain transformation, and normalization, canonicalization and signal-level translation to support the determination of predictive diagnostics and prognostics.Written by noted experts in the field, Prognostics and Health Management clearly describes how to extract signatures from conditioned-based data using conditioning methods such as data fusion and transformation, domain transformation, data type transformation and indirect and differential comparison. This important resource:* Integrates data collecting, mathematical modelling and reliability prediction in one volume* Contains numerical examples and problems with solutions that help with an understanding of the algorithmic elements and processes* Presents information from a panel of experts on the topic* Follows prognostics based on statistical modelling, reliability modelling and usage modelling methodsWritten for system engineers working in critical process industries and automotive and aerospace designers, Prognostics and Health Management offers a guide to the application of condition-based data to produce signatures for input to predictive algorithms to produce prognostic estimates of functional health and life.

A one-stop guide to design for safety principles and applications Design for Safety (DfSa) provides design engineers and engineering managers with a range of tools and techniques for incorporating safety into the design process for complex systems. It explains how to design for maximum safe conditions and minimum risk of accidents. The book covers safety design practices, which will result in improved safety, fewer accidents, and substantial savings in life cycle costs for producers and users. Readers who apply DfSa principles can expect to have a dramatic improvement in the ability to compete in global markets. They will also find a wealth of design practices not covered in typical engineering books--allowing them to think outside the box when developing safety requirements. Design Safety is already a high demand field due to its importance to system design and will be even more vital for engineers in multiple design disciplines as more systems become increasingly complex and liabilities increase. Therefore, risk mitigation methods to design systems with safety features are becoming more important. Designing systems for safety has been a high priority for many safety-critical systems--especially in the aerospace and military industries. However, with the expansion of technological innovations into other market places, industries that had not previously considered safety design requirements are now using the technology in applications. Design for Safety: Covers trending topics and the latest technologies Provides ten paradigms for managing and designing systems for safety and uses them as guiding themes throughout the book Logically defines the parameters and concepts, sets the safety program and requirements, covers basic methodologies, investigates lessons from history, and addresses specialty topics within the topic of Design for Safety Supplements other books in the Wiley series on Quality and Reliability Engineering Design for Safety is an ideal book for new and experienced engineers and managers who are involved with design, testing, and maintenance of safety critical applications. It is also helpful for advanced undergraduate and postgraduate students in engineering. Design for Safety is the second in a series of "Design for" books. Design for Reliability was the first in the series with more planned for the future.

Offers timely and comprehensive coverage of dynamic system reliability theoryThis book focuses on hot issues of dynamic system reliability, systematically introducing the reliability modeling and analysis methods for systems with imperfect fault coverage, systems with function dependence, systems subject to deterministic or probabilistic common-cause failures, systems subject to deterministic or probabilistic competing failures, and dynamic standby sparing systems. It presents recent developments of such extensions involving reliability modelling theory, reliability evaluation methods, and features numerous case studies based on real-world examples. The presented dynamic reliability theory can enable a more accurate representation of actual complex system behavior, thus more effectively guiding the reliable design of real-world critical systems.Dynamic System Reliability: Modelling and Analysis of Dynamic and Dependent Behaviors begins by describing the evolution from the traditional static reliability theory to the dynamic system reliability theory, and provides a detailed investigation of dynamic and dependent behaviors in subsequent chapters. Although written for those with a background in basic probability theory and stochastic processes, the book includes a chapter reviewing the fundamentals that readers need to know in order to understand contents of other chapters which cover advanced topics in reliability theory and case studies.* The first book systematically focusing on dynamic system reliability modelling and analysis theory* Provides a comprehensive treatment on imperfect fault coverage (single-level/multi-level or modular), function dependence, common cause failures (deterministic and probabilistic), competing failures (deterministic and probabilistic), and dynamic standby sparing* Includes abundant illustrative examples and case studies based on real-world systems* Covers recent advances in combinatorial models and algorithms for dynamic system reliability analysis* Offers a rich set of references, providing helpful resources for readers to pursue further research and study of the topicsDynamic System Reliability: Modelling and Analysis of Dynamic and Dependent Behaviors is an excellent book for undergraduate and graduate students, and engineers and researchers in reliability and related disciplines.

Offers a holistic approach to guiding product design, manufacturing, and afterΓÇôsales support as the manufacturing industry transitions from a productΓÇôoriented model to serviceΓÇôoriented paradigm  This book provides fundamental knowledge and best industry practices in reliability modelling, maintenance optimization, and service parts logistics planning. It aims to develop an integrated productΓÇôservice system (IPSS) synthesizing design for reliability, performanceΓÇôbased maintenance, and spare parts inventory. It also presents a lifecycle reliabilityΓÇôinventory optimization framework where reliability, redundancy, maintenance, and service parts are jointly coordinated. Additionally, the book aims to report the latest advances in reliability growth planning, maintenance contracting and spares inventory logistics under nonΓÇôstationary demand condition. Reliability Engineering and Service provides inΓÇôdepth chapter coverage of topics such as: Reliability Concepts and Models; Mean and Variance of Reliability Estimates; Design for Reliability; Reliability Growth Planning; Accelerated Life Testing and Its Economics; Renewal Theory and Superimposed Renewals; Maintenance and PerformanceΓÇôBased Logistics; Warranty Service Models; Basic Spare Parts Inventory Models; Repairable Inventory Systems; Integrated ProductΓÇôService Systems (IPPS), and Resilience Modeling and Planning Guides engineers to design reliable products at a low cost Assists service engineers in providing superior afterΓÇôsales support Enables managers to respond to the changing market and customer needs Uses endΓÇôofΓÇôchapter case studies to illustrate industry best practice Lifecycle approach to reliability, maintenance and spares provisioning Reliability Engineering and Service is an important book for graduate engineering students, researchers, and industryΓÇôbased reliability practitioners and consultants.

RELIABILITY ANALYSIS, SAFETY ASSESSMENT AND OPTIMIZATIONRELIABILITY ANALYSIS, SAFETY ASSESSMENT AND OPTIMIZATIONMETHODS AND APPLICATIONS IN ENERGY SYSTEMS AND OTHER APPLICATIONSThis book is a comprehensive overview of the recently developed methods for assessing and optimizing system reliability and safety. It consists of two main parts, for assessment and optimization methods, respectively. The former covers multi-state system modelling and reliability evaluation, Markov processes, Monte Carlo simulation and uncertainty treatments under poor knowledge. The reviewed methods range from piecewise-deterministic Markov process to belief functions. The latter covers mathematical programs, evolutionary algorithms, multi-objective optimization and optimization under uncertainty. The reviewed methods range from non-dominated sorting genetic algorithm to robust optimization. This book also includes the applications of the assessment and optimization method on real world cases, particularly for the reliability and safety of renewable energy systems. From this point of view, the book bridges the gap between theoretical development and engineering practice.

Thermodynamic degradation science is a new and exciting discipline. This book merges the science of physics of failure with thermodynamics and shows how degradation modeling is improved and enhanced when using thermodynamic principles.

A comprehensively updated and reorganized new edition. The updates include comparative methods for improving reliability; methods for optimal allocation of limited resources to achieve a maximum risk reduction; methods for improving reliability at no extra cost and building reliability networks for engineering systems.

Next Generation HALT and HASS presents a major paradigm shift from reliability prediction-based methods to discovery of electronic systems reliability risks.

Covering the major topics in lead-free solderingLead-free Soldering Process Development and Reliability provides a comprehensive discussion of all modern topics in lead-free soldering. Perfect for process, quality, failure analysis and reliability engineers in production industries, this reference will help practitioners address issues in research, development and production.Among other topics, the book addresses:* Developments in process engineering (SMT, Wave, Rework, Paste Technology)* Low temperature, high temperature and high reliability alloys* Intermetallic compounds* PCB surface finishes and laminates* Underfills, encapsulants and conformal coatings* Reliability assessmentsIn a regulatory environment that includes the adoption of mandatory lead-free requirements in a variety of countries, the book's explanations of high-temperature, low-temperature, and high-reliability lead-free alloys in terms of process and reliability implications are invaluable to working engineers.Lead-free Soldering takes a forward-looking approach, with an eye towards developments likely to impact the industry in the coming years. These will include the introduction of lead-free requirements in high-reliability electronics products in the medical, automotive, and defense industries. The book provides practitioners in these and other segments of the industry with guidelines and information to help comply with these requirements.

This book defines the correct procedures for doing a failure modes and effects analysis (FMEA) to achieve high quality in products and processes, outlining how to successfully apply the FMEA procedure in design, development, manufacturing, and service applications.

Failure analysis is the preferred method to investigate product or process reliability and to ensure optimum performance of electrical components and systems. The physics-of-failure approach is the only internationally accepted solution for continuously improving the reliability of materials, devices and processes.

The aim of Design for Reliability (DFR) is to design for zero failures of critical system functions, which results in enormous savings in life cycle costs for producers and users. This practical guide helps readers to understand the best-of-breed methods, technologies, and tools for incorporating reliability into the complex systems design process.

Measurement and Calibration Requirements For Quality Assurance to ISO 9000 Alan S. Morris University of Sheffield, UK Quality assurance is of paramount importance for today's businesses. This uniquely integrated approach to quality management focuses on the measurement and calibration requirements that are key to the achievement of ISO 9000.

This book includes an introduction to some important reliability concepts and a review of terminology. The work is divided into three sections: modelling, evaluation and assurance.

Testing is the most expensive, time-consuming, and difficult activity in the development of engineering products and systems. Much of the testing that is performed in industry is based on tradition, standards, and procedures that do not provide the optimum balance of quality assurance versus cost and time.

The authoritative guide to the effective design and production of reliable technology products, revised and updatedWhile most manufacturers have mastered the process of producing quality products, product reliability, software quality and software security has lagged behind. The revised second edition of Improving Product Reliability and Software Quality offers a comprehensive and detailed guide to implementing a hardware reliability and software quality process for technology products. The authors - noted experts in the field - provide useful tools, forms and spreadsheets for executing an effective product reliability and software quality development process and explore proven software quality and product reliability concepts.The authors discuss why so many companies fail after attempting to implement or improve their product reliability and software quality program. They outline the critical steps for implementing a successful program. Success hinges on establishing a reliability lab, hiring the right people and implementing a reliability and software quality process that does the right things well and works well together. Designed to be accessible, the book contains a decision matrix for small, medium and large companies. Throughout the book, the authors describe the hardware reliability and software quality process as well as the tools and techniques needed for putting it in place. The concepts, ideas and material presented are appropriate for any organization. This updated second edition:* Contains new chapters on Software tools, Software quality process and software security.* Expands the FMEA section to include software fault trees and software FMEAs.* Includes two new reliability tools to accelerate design maturity and reduce the risk of premature wearout.* Contains new material on preventative maintenance, predictive maintenance and Prognostics and Health Management (PHM) to better manage repair cost and unscheduled downtime.* Presents updated information on reliability modeling and hiring reliability and software engineers.* Includes a comprehensive review of the reliability process from a multi-disciplinary viewpoint including new material on uprating and counterfeit components.* Discusses aspects of competition, key quality and reliability concepts and presents the tools for implementation.Written for engineers, managers and consultants lacking a background in product reliability and software quality theory and statistics, the updated second edition of Improving Product Reliability and Software Quality explores all phases of the product life cycle.

This complete resource on the theory and applications of reliability engineering, probabilistic models and risk analysis consolidates all the latest research, presenting the most up-to-date developments in this field.