Applied Reliability Third Edition

Since the publication of the second edition of Applied Reliability in 1995, the ready availability of inexpensive, powerful statistical software has changed the way statisticians and engineers look at and analyze all kinds of data. Problems in reliability that were once difficult and time consuming even for experts can now be solved with a few well-chosen clicks of a mouse. However, software documentation has had difficulty keeping up with the enhanced functionality added to new releases, especially in specialized areas such as reliability analysis. Using analysis capabilities in spreadsheet software and two well-maintained, supported, and frequently updated, popular software packages—Minitab and SAS JMP—the third edition of Applied Reliability is an easy-to-use guide to basic descriptive statistics, reliability concepts, and the properties of lifetime distributions such as the exponential, Weibull, and lognormal. The material covers reliability data plotting, acceleration models, life test data analysis, systems models, and much more. The third edition includes a new chapter on Bayesian reliability analysis and expanded, updated coverage of repairable system modeling. Taking a practical and example-oriented approach to reliability analysis, this book provides detailed illustrations of software implementation throughout and more than 150 worked-out examples done with JMP, Minitab, and several spreadsheet programs. In addition, there are nearly 300 figures, hundreds of exercises, and additional problems at the end of each chapter, and new material throughout. Software and other files are available for download online

Each industry, from robotics to health care, power generation to software, has its own tailored reliability and quality principles, methods, and procedures. This book brings these together so that reliability and quality professionals can more easily learn about each other's work, which may help them, directly or indirectly, to perform their tasks more effectively.

Engineering systems and products are an important element of the world economy and each year billions of dollars are spent to develop, manufacture, operate, and maintain systems and products around the globe. Because of this, global competition is requiring reliability professionals to work closely with other departments involved in engineering development during the product design and manufacturing phase. Applied Reliability for Engineers is an attempt to meet the need for a single volume that addresses a wide range of applied reliability topics. The material is treated in such a manner that the reader will require no previous knowledge to understand the text. The sources of most of the information presented are given in a reference section at the end of each chapter. At appropriate places, the book contains examples along with their solutions. At the end of each chapter there are numerous problems to test reader comprehension. This volume is thus suitable for use as a textbook as well as for reference. Applied Reliability for Engineers is useful to design professionals, system engineers, reliability specialists, graduate and senior undergraduate students, researchers and instructors of reliability engineering, and engineers-at-large.

With over 170 pages of new material, the second edition of this widely used reference provides engineers and statisticians with an updated, easy-to-follow approach to evaluating and projecting component and system reliability by combining standard statistical methods with advanced leading-edge reliability techniques. It includes an extensive treatment of life distribution and accelerated testing models and data analysis and data simulation techniques, as well as quality control methods and algorithms used to predict component and assembly field reliability. The second edition includes three completely new chapters: two cover "Repairable System Reliability" (both for renewal and non-renewal models), with an emphasis on simple graphical techniques, while also describing analytical methods for reparable system data analysis. A third new chapter surveys areas such as reliability growth modeling, Bayesian reliability analysis, and field reliability monitoring programs. In addition, this latest edition offers hundreds of new examples, exercises, problems, and references-all designed to provide readers with additional support in understanding and applying the latest reliability testing methods. In bringing state-of-the-art techniques down to an accessible, how-to level, the second edition of Applied Reliability will serve the practical needs of electronic, mechanical, and industrial engineers involved in the design and manufacture of components and systems, and of statisticians and scientists working on applied reliability problems. It will also be a highly suitable textbook for engineering courses in applied reliability and quality control.

Many books on reliability focus on either modeling or statistical analysis and require an extensive background in probability and statistics. Continuing its tradition of excellence as an introductory text for those with limited formal education in the subject, this classroom-tested book introduces the necessary concepts in probability and statistics within the context of their application to reliability. The Third Edition adds brief discussions of the Anderson-Darling test, the Cox proportionate hazards model, the Accelerated Failure Time model, and Monte Carlo simulation. Over 80 new end-of-chapter exercises have been added, as well as solutions to all odd-numbered exercises. Moreover, Excel workbooks, available for download, save students from performing numerous tedious calculations and allow them to focus on reliability concepts. Ebeling has created an exceptional text that enables readers to learn how to analyze failure, repair data, and derive appropriate models for reliability and maintainability as well as apply those models to all levels of design.

Introduction to Reliability Engineering A complete revision of the classic text on reliability engineering, written by an expanded author team with increased industry perspective Introduction to Reliability Engineering provides a thorough and well-balanced overview of the fundamental aspects of reliability engineering and describes the role of probability and statistical analysis in predicting and evaluating reliability in a range of engineering applications. Covering both foundational theory and real-world practice, this classic textbook helps students of any engineering discipline understand key probability concepts, random variables and their use in reliability, Weibull analysis, system safety analysis, reliability and environmental stress testing, redundancy, failure interactions, and more. Extensively revised to meet the needs of today’s students, the Third Edition fully reflects current industrial practices and provides a wealth of new examples and problems that now require the use of statistical software for both simulation and analysis of data. A brand-new chapter examines Failure Modes and Effects Analysis (FMEA) and the Reliability Testing chapter has been greatly expanded, while new and expanded sections cover topics such as applied probability, probability plotting with software, the Monte Carlo simulation, and reliability and safety risk. Throughout the text, increased emphasis is placed on the Weibull distribution and its use in reliability engineering. Presenting students with an interdisciplinary perspective on reliability engineering, this textbook: Presents a clear and accessible introduction to reliability engineering that assumes no prior background knowledge of statistics and probability Teaches students how to solve problems involving reliability data analysis using software including Minitab and Excel Features new and updated examples, exercises, and problems sets drawn from a variety of engineering fields Includes several useful appendices, worked examples, answers to selected exercises, and a companion website Introduction to Reliability Engineering, Third Edition remains the perfect textbook for both advanced undergraduate and graduate students in all areas of engineering and manufacturing technology.