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Detailed review of: 

Risk-based Reliability Analysis and Generic Principles for Risk Reduction





Elsevier B.V. , The Netherlands




Machael Todinov 




Risk-based Reliability Analysis and Generic Principles for Risk Reduction


Year of Publication














Krishna B. Misra




Review published in IJPE, Vol. 8, No. 3, May 2012, p. 248.

   Table of Contents


  04 Pages

Chapter 1

Risk-Based Reliability Analysis: A Powerful Alternative to Traditional Reliability Analysis

  06 Pages

Chapter 2

Basic Reliability Concepts and Conventions used for Determining the Loss from Failure

  24 Pages

Chapter 3

Methods for Analysis of Complex Reliability Networks

  28 Pages

Chapter 4

Probabilistic Risk Assessment and Risk Management

  30 Pages

Chapter 5

Potential Loss from Failure for Non-repairable Components and Systems with Multiple Failure Modes

  32 Pages

Chapter 6

Losses from Failures for Repairable Systems with Components Logically Arranged in Series

  14 Pages

Chapter 7

Reliability Analysis of Complex Repairable Systems Based on Constructing the Distribution of the Potential Losses

  16 Pages

Chapter 8

Reliability Value Analysis for Complex Systems

  12 Pages

Chapter 9

Reliability Allocation Based on Minimizing the Total Cost

  17 Pages

Chapter 10

Generic Approaches to Reducing the Likelihood of Critical Failures

  12 Pages

Chapter 11

Specific Principles for Reducing the Likelihood of Failures

  30 Pages

Chapter 12

Reducing the Risk of Failures by Reducing the Negative Impact from the Variability of Design Parameters

  16 Pages

Chapter 13

Generic Solutions for Reducing the Likelihood of Overstress and Wearout Failures

  25 Pages

Chapter 14

Reducing the Risk of Failure by Removing Latent Faults and Avoiding Common Cause Failures

  25 Pages

Chapter 15

Consequence Analysis and Generic Principles for Reducing the Consequences from Failures

  24 Pages

Chapter 16

Locally Initiated Failure and Risk Reduction

  33 Pages

Appendix A1-A8: Monte Carlo Simulation Routines used in the Algorithms for Risk-Based Reliability Analysis

  05 Pages


  07 Pages


  11 Pages

This book is actually based on an interesting research work carried out by the author from 2004 onwards, resulting in some papers and his companion book on Reliability and Risk Models : Setting Quantitative Reliability

Risk-based Reliability Analysis and Generic Principles for Risk Reduction

Requirements, published by Wiley in 2005. This is book is different from other books dealing with conventional reliability analysis and design as its premise is based on the cost of failures. This will result in a situation where even identical components may be designed to different reliability levels if their failure results in different losses. The author justifies this as risk –based reliability design and feels that a number of failures resulting in very high consequences can be avoided by following the formulated design principle if the reliability level to which a critical system is built, is derived from the consequences of its failures.

An aggregated risk measure based on cumulative distribution of potential losses is introduced and theoretical framework for risk analysis based on the concept of potential losses is developed. In traditional analysis, losses from failures are calculated by average unavailability or availability. In the author's proposition, two systems with the same unavailability may have very different losses from failure depending upon the time of occurrences of the failures besides the average availability does not reveal the variation of actual availability and thereby the variation of losses. The book also addresses the problem of risk-based reliability allocation in a complex system. In the latter part, the book also provides generic principles and techniques for reducing risk of failure, which are classified in three categories, viz., reducing the likelihood of failure (what the author calls it as preventive), reducing the consequences of failure (protective) and the third category comprises reducing both, i.e., likelihood and consequences of failures. In fact the author claims that such a systematic presentation of risk reducing approaches has been done for the first time through this book. The author also supplements the book by providing a review of classical reliability and risk analysis techniques and models.

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.


Krishna B. Misra

Review published in the International Journal of Performability Engineering, Vol. 8, No. 3, May 2012, p. 248..

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