Risk-Based Reliability Analysis and Generic Principles for Risk ReductionBy
- Michael Todinov, Department of Mechanical Engineering and Mathematical Sciences, Oxford Brookes University, Oxford, UK
For a long time, conventional reliability analyses have been oriented towards selecting the more reliable system and preoccupied with maximising the reliability of engineering systems. On the basis of counterexamples however, we demonstrate that selecting the more reliable system does not necessarily mean selecting the system with the smaller losses from failures! As a result, reliability analyses should necessarily be risk-based, linked with the losses from failures.
Accordingly, a theoretical framework and models are presented which form the foundations of the reliability analysis and reliability allocation linked with the losses from failures.
An underlying theme in the book is the basic principle for a risk-based design: the larger the cost of failure associated with a component, the larger its minimum necessary reliability level. Even identical components should be designed to different reliability levels if their failures are associated with different losses.
According to a classical definition, the risk of failure is a product of the probability of failure and the cost given failure. This risk measure however cannot describe the risk of losses exceeding a maximum acceptable limit. Traditionally the losses from failures have been 'accounted for' by the average production availability (the ratio of the actual production capacity and the maximum production capacity). As demonstrated in the book by using a simple counterexample, two systems with the same production availability can be characterised by very different losses from failures.
As an alternative, a new aggregated risk measure based on the cumulative distribution of the potential losses has been introduced and the theoretical framework for risk analysis based on the concept potential losses has also been developed. This new risk measure incorporates the uncertainty associated with the exposure to losses and the uncertainty in the consequences given the exposure. For repairable systems with complex topology, the distribution of the potential losses can be revealed by simulating the behaviour of systems during their life-cycle. For this purpose, fast discrete event-driven simulators are presented capable of tracking the potential losses for systems with complex topology, composed of a large number of components. The simulators are based on new, very efficient algorithms for system reliability analysis of systems comprising thousands of components.
An important theme in the book are the generic principles and techniques for reducing technical risk. These have been classified into three major categories: preventive (reducing the likelihood of failure), protective (reducing the consequences from failure) and dual (reducing both, the likelihood and the consequences from failure). Many of these principles (for example: avoiding clustering of events, deliberately introducing weak links, reducing sensitivity, introducing changes with opposite sign, etc.) are discussed in the reliability literature for the first time.
Significant space has been allocated to component reliability. In the last chapter of the book, several applications are discussed of a powerful equation which constitutes the core of a new theory of locally initiated component failure by flaws whose number is a random variable.
This book has been written with the intention to fill two big gaps in the reliability and risk literature: the risk-based reliability analysis as a powerful alternative to the traditional reliability analysis and the generic principles for reducing technical risk. I hope that the principles, models and algorithms presented in the book will help to fill these gaps and make the book useful to reliability and risk-analysts, researchers, consultants, students and practising engineers.
This book is suitable for all students studying risk analysis, reliability and mechanical engineering. Also for risk analysts, reliability consultants, lecturers and practising reliability engineers. It is also suitable for engineering students, reliability and risk practitioners.
Hardbound, 400 Pages
Published: November 2006
"The referee finds this book quite interesting and recommends to the students of reliability and researchers to have a closer look at it so that further research can be initiated to develop tools hitherto were not possible and a realist approach to risk-based reliability design of systems is possible. This book should be a good addition to a library of books on reliability and risk." --International Journal of Performability Engineering
- Preface1. Risk-based reliability analysis - a powerful alternative to the traditional reliability analysis2. Basic reliability concepts and conventions used for determining the losses from failures3. Methods for analysis of complex reliability networks 4. Probabilistic risk assessment and risk management5. Potential loss from failure for non-repairable components and systems with multiple failure modes6. Losses from failures for repairable systems with components logically arranged in series7. Reliability analysis of complex repairable systems based on constructing the distribution of the potential losses8. Reliability value analysis for complex systems9. Reliability allocation based on minimising the total cost10. Generic approaches to reducing the likelihood of critical failures11. Specific principles for reducing the likelihood of failures12. Reducing the risk of failure by reducing the negative impact from the variability of design parameters13. Generic solutions for reducing the likelihood of overstress and wearout failures14. Reducing the risk of failure by removing latent faults, and avoiding common cause failures15. Consequence analysis and generic principles for reducing the consequences from failures16. Locally initiated failures and risk reductionAppendix AReferences