Michael Todinov – Realiability & Risk Models
Michael Todinov – Realiability & Risk Models
Michael Todinov – Realiability & Risk Models
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Description
MICHAEL TODINOV – REALIABILITY & RISK MODELS
The first comprehensive overview of the M/F-FOP philosophy and its applications can be found in this superb book. Probable models, statistical and numerical procedures, applications and/or case studies are covered in each chapter. A new methodology for problem solving is examined in the context of real reliability engineering problems. The models have been implemented in C. The MFFOP can be set using the programming code supplied. Case studies from the nuclear, automotive and offshore industries are used to provide real-world applications.
Review
The book is well written and spans the field of reliability. Insight, March 2006)
The back cover.
There is an introduction to the MFFOP and cost-of-failure based approaches to reliability analysis.
Ensuring a small risk of violating specified minimum failure-free operating periods is important for many production systems. The intervention for repair and high cost of failure dictate this. Risk models and reliability. There are new approaches for setting quantitative reliability requirements based on the cost of failure and minimum failure-free operating periods. The current reliability analysis is disconnected from the cost of failure.
This book begins with a comprehensive introduction to reliability and risk analysis.
- Examines a new methodology for problem solving in the context of real reliability engineering problems.
- Demonstrates the new reliability methodology through a number of practical applications and case studies.
- Supplies the code of the algorithms which can be used for reliability analyses and setting quantitative reliability requirements.
- Gives a comprehensive overview of basic Monte Carlo simulation techniques and algorithms for solving reliability engineering problems.
This book introduces load-strength interference models for reliability and risk analysis. Over stress reliability. There is a generalisation of the load-strength interference. An efficient model for determining the probability of failure of loaded components and structures with internal flaws is also presented.
Risk models and reliability. It’s essential reading for engineers, researchers and consultants who deal with reliability and risk assessment. It is an excellent reference for actuaries, economists, and lecturers in applied probability and statistics, as well as for graduate students in reliability engineering.
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