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Rating: 
Summary: Excellent reference book
Review: This is a great reference book on repairable systems reliability. Too many reliability engineers, and especially their management, blindly rely on "Weibulls" for decision making. Often the subtle (and critical) difference between a non-repairable component models (like the usual Weibull & Lognormal models) and a repairable-system models are overlooked. This book clearly explains the differences between repairable & non-repairable systems, minimal-repair and renewal models, etc. It has a nice balance between theory and examples, and one of the best explanations of poisson process theory I have seen. I have applied the methods described in this book to several industry data sets (from my own experience dealing with gas & steam turbine power plants, wind turbine farms, control systems, etc) and they work very well. And the theory finally helped clarify a lot of questions I had while using commercial reliability growth programs and standards. The proofs can be a bit intimidatng for the novice, but its worth chugging through the math as some of the most useful (and practical) results are found in the lemmas. I would rate this as a classic for repairable systems reliability, just as Nelson's "applied life data analysis" is the classic for non-repairable systems. Both books should be on the bookshelf of any industrial or reliability engineer.
Rating:
Summary: Excellent reference book
Review: This is a great reference book on repairable systems reliability. Too many reliability engineers, and especially their management, blindly rely on "Weibulls" for decision making. Often the subtle (and critical) difference between a non-repairable component models (like the usual Weibull & Lognormal models) and a repairable-system models are overlooked. This book clearly explains the differences between repairable & non-repairable systems, minimal-repair and renewal models, etc. It has a nice balance between theory and examples, and one of the best explanations of poisson process theory I have seen. I have applied the methods described in this book to several industry data sets (from my own experience dealing with gas & steam turbine power plants, wind turbine farms, control systems, etc) and they work very well. And the theory finally helped clarify a lot of questions I had while using commercial reliability growth programs and standards. The proofs can be a bit intimidatng for the novice, but its worth chugging through the math as some of the most useful (and practical) results are found in the lemmas. I would rate this as a classic for repairable systems reliability, just as Nelson's "applied life data analysis" is the classic for non-repairable systems. Both books should be on the bookshelf of any industrial or reliability engineer.
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