Reliability Engineering

This 5th edition differs from the 4th one for some refinements and extensions mainly on investigation and test of complex repairable systems. For phased-mission systems a new approach is given for both reliability and availability (Section 6. 8. 6. 2). Effects of common cause failures (CCF) are carefully investigated for a 1-out-of-2 redundancy (6. 8. 7). Petri nets and dynamic FTA are introduced as alternative investigation methods for repairable systems (6. 9). Approximate expressions are further developed. An unified approach for availability estimation und demonstration is given for exponentially and Erlangian distributed failure-free and repair times (7. 2. 2, A8. 2. 2. 4, A8. 3. 1. 4). Con$dence limits at system level are given for the case of constant failure rates (7. 2. 3. 1). Investigation of nonhomogeneous Poisson processes is refined and more general point processes (superimposed, cumulative) are discussed (A7. 8), with application to data analysis (7. 6. 2) & cost optimization (4. 7). Trend tests to detect early failures or wearozdi are introduced (7. 6. 3). A simple demonstration for mean & variance in a cumulative process is given (A7. 8. 4). Expansion of a redundancy 2-out-of-3 to a redundancy 1-out-of-3 is discussed (2. 2. 6. 5). Some present production-related reliability problems in VLSI ICs are shown (3. 3. 4). Maintenance strategies are reviewed (4. 6). As in the previous editions of this book, reliability figures at system level have indices SI (e. g.

From the reviews of the fourth edition:

Title: Reliability Engineering: Theory and Practice, Fourth Edition

Author: Prof. Dr. Alessandro Birolini

E-mail: birolini@emeritus.ethz.ch

Publisher: Springer-Verlag, 2004

Reference: ISBN 3-540-40287-X

Reviewer: Kenneth P. LaSala, Ph.D.

KPL Systems

Silver Spring, MD 20904-3323

Professor Birolini and Springer-Verlag recently have published the fourth edition of the excellent text entitled Reliability Engineering: Theory and Practice. The structure of the book remains basically unchanged from the previous editions:

Chapter 1 addresses the basic concepts associated with quality and reliability assurance of complex equipment and systems.

Chapters 2-8 focus on reliability, maintainability, and availability analysis and test, with Chapters 3,5, and 8 focusing on practical aspects. Chapter 2 covers reliability analysis during the design and development phase and covers system structures and redundancies. It also covers reliability allocation (a favorite subject of the reviewer), mechanical reliability, failure mode analysis, and design reviews. Chapter 3 discusses qualification tests for components and assemblies. Included topics that are extremely useful but a bit off the chapter theme are basic component selection criteria such as environment, performance, technology, manufacturing, and reliability. Chapter 4, Maintainability Analysis, has added models and considerations for spare parts provisioning. The chapter also addresses maintenance concepts, design reviews, and predicting maintainability. Chapter 5 addresses many of the non-statistical design considerations such as derating, cooling, electromagnetic compatibility, and testability. Significantly, this chapter now includes design guidelines for software quality that address defect prevention, configuration management, software testing, and software quality growth models. Chapter 6 addresses redundancies and now addresses complex repairable systems in a variety of ways, including imperfect switching, incomplete coverage, and Monte Carlo simulation for rare events. Chapter 7 discusses statistical quality control, reliability tests, maintainability tests, accelerated testing, and goodness-of-fit tests. Chapter 8 covers quality and reliability assurance during the production phase. It includes screening and growth testing, although neither screening nor growth testing (especially the latter) should be restricted to the production phase.

Appendices A1-A5 address definition, standards, and program plans for the reliability assurance and management of complex systems. This is an important addition because it helps readers specify and achieve high reliability targets. Appendix A4 is particularly useful because it includes checklists for design reviews. Appendix A5 describes requirements for quality data reporting systems.

Appendices A6-A8 address basic probability theory, stochastic processes, and statistics. Appendix A7 focuses on basic stochastic process theory and includes Markov, semi-Markov, and semi-regenerative processes. This appendix now includes new models that address non-homogeneous Poisson processes (NHPPs).

Appendix A9 includes statistical tables, Laplace transforms and probability paper samples.

All in all, Professor Birolini has given readers an excellent instructional tool and desktop reference. It is extremely well written. The span of topics makes the coverage of some topics necessarily brief. Professor Birolini presents much of the non-statistical information in a manner that could be understood easily by engineering and program managers as well as reliability experts. He discusses the statistical topics in the proper amount of detail to ensure at least a good basic understanding. Tables, illustrations, and examples amply support the text.However, one disadvantage for classroom use could be that there are no sets of problems to be worked for homework assignments.

The reviewer thanks the author for the opportunity to review this excellent book and recommends this book highly.

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"One of the key components of customer satisfaction (a pillar of the total quality management movement) is the reliability of a product. … This book is based on Birolini’s 30 years experience in this field both in industry and academia. … All in all, the book of Professor Birolini can be highly recommended. It is … written as a text book for those versed in maths and working in the field of RE, and as reference book for others including project managers." (Kasturi Narasimhan, The TQM Magazine, Vol. 17 (2), 2005)