Practical Reliability Data Analysis For Non Reliability Engineers

This practical resource presents basic probabilistic and statistical methods or tools used to extract the information from reliability data to make sound decisions. It consolidates and condenses the reliability data analysis methods most often used in everyday practice into an easy-to-follow guide, while also providing a solid foundation from which to explore more complex methods if desired. The book provides mathematical and Excel spreadsheet formulas to estimate parameters and confidence bounds (uncertainty) for the most common probability distributions used in reliability analysis. Several other Excel tools are provided to aid users without access to expensive, dedicated, commercial tools. This book and tools were developed by the authors after many years of teaching the fundamentals of reliability data analysis to a broad range of technical and non-technical military and civilian personnel, making it useful for both novice and experienced engineers.

This practical introduction to the analysis of data collected from reliability studies offers clear, detailed explanations of the best and most up-to-date techniques available. Topics include survival analysis with covariates, the assessment of systems performance, reliability growth models, dependency (which encompasses both engineering and statistical approaches), and practical aspects of analysis. A wealth of interesting case studies appear throughout the text, lending "real-world" examples to the more theoretical discussions. Throughout, the authors stress the need for investigators to understand the background and nature of their data if they are to select the most appropriate analysis method. They also provide in-depth treatments of the mathematical and statistical bases underlying each technique. Accessible and comprehensive, the book will be welcomed by students, professionals, and statisticians who are interested in the practical aspects of reliability data analysis.

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

In today's sophisticated world, reliability stands as the ultimate arbiter of quality. An understanding of reliability and the ultimate compromise of failure is essential for determining the value of most modern products and absolutely critical to others, large or small. Whether lives are dependent on the performance of a heat shield or a chip in a

This classic textbook/reference contains a complete integration of the processes which influence quality and reliability in product specification, design, test, manufacture and support. Provides a step-by-step explanation of proven techniques for the development and production of reliable engineering equipment as well as details of the highly regarded work of Taguchi and Shainin. New to this edition: over 75 pages of self-assessment questions plus a revised bibliography and references. The book fulfills the requirements of the qualifying examinations in reliability engineering of the Institute of Quality Assurance, UK and the American Society of Quality Control.

This update of a classic text explains new and proven methods for the development and production of reliable equipment in engineering. It covers the latest technological advances, methodology and international standards.

This book is intended for the engineer or engineering student with little or no prior background in reliability. Its purpose is to provide the background material and guidance necessary to comprehend and carry out all the tasks associated with a reliability program from specification generation to final demonstration of reliability achieved. Most available texts on reliability concentrate on the mathematics and statistics used for reliability analysis, evaluation, and demonstration. They are more often suited more for the professional with a heavier mathematical background that most engineers have, and more often than not, ignore or pay short-shrift to basic engineering design and organizational efforts associated with a reliability program. A reliability engineer must be familiar with both the mathematics and engineering aspects of a reliability program. This text: 1. Describes the mathematics needed for reliability analysis, evaluation, and demonstration commensurate with an engineer's background. 2. Provides background material, guidance, and references necessary to the structure and implementation of a reliability program including: • identification of the reliability standards in most common use • how to generate and respond to a reliability specification • how reliability can be increased • the tasks which make up a reliability program and how to judge the need and scope of each; how each is commonly performed; caution and comments about their application.

Authored by a practicing reliability engineer with over 25 years of experience, this book provides useful insights and a practical analysis that can be used to deal with reliability problems in designs. Practical Reliability Analysis makes use of both case studies and illustrative examples to teach readers through the use of practical applications. Features include: Case studies--provide practical applications of problem-solving techniques Mathematical analysis--demonstrates useful applications of statistical analysis in reliability problems Pictorial description of mechanical reliability--demonstrates common mechanical failures of electrical components Confidence limits--uses graphical examples to make this difficult subject clear