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For over 30 years, Reliability, Maintainability and Riskhas been recognised as a leading text for reliability and maintenance professionals. Now in its seventh edition, the book has been updated to remain the first choice for professional engineers and students. The seventh edition incorporates new material on important topics including software failure, the latest safety legislation and standards, product liability, integrity of safety-related systems, as well as delivering an up-to-date review of the latest approaches to reliability modelling, including cutsec ranking. It is also supported by new detailed case studies on reliability and risk in practice.
“This is the 5th edition of DJ Smith’s excellent book on reliability in the real world. Having worked in this field for a number of years, I can honestly say that Mr. Smith has provided a perfect means of understanding the principles behind basic reliability calculations, in a way that is neither condescending nor unneccesarily complex. I recommend this book in the strongest possible terms to readers interested in gaining a greater understanding of the world of reliability engineering without having to trawl through pages of postgraduate mathematics.”
The leading practical guide for reliability and maintenance professionals and students
Now in its seventh edition, Reliability, Maintainability and Risk continues to provide a clear introduction for all engineers working in areas of risk, maintenance and reliability. This updated edition incorporates new material on important topics including software failure, the latest safety legislation and standards, product liability and integrity of safety-related systems, as well as covering recent changes in the approach to reliability modelling. It is also supported by topical and detailed case studies on reliability and risk based on the author’s extensive experience.
Dealing with all aspects of reliability, maintainability and safety-related failures in a proven simple and straightforward way, the book pre-supposes no prior knowledge of the subject and deals realistically with numerical data, making predictions using the minimum of mathematics and technical jargon.