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Detailed review of:


Reliability and Risk Models: Setting Reliability Requirements

Publishers

:

John Wiley & Sons Ltd., London

Authors

: 

Machael Todinov

Title

: 

Reliability and Risk Models: Setting Reliability Requirements

Year of Publication

: 

2005

Pages

: 

322

ISBN

: 

0470094885

Reviewer

: 

Krishna B. Misra

Status

 

Review published in IJPE, Vol. 8, No. 4 , July 2013, p. 426.

 

The book consists of the following 16 chapters followed by Authors’ Preface:

Preface

04 Pages

Chapter 1

Some Basic Reliability Concepts

18 Pages

Chapter 2

Common Reliability and Risk Models and their Applications

34 Pages

Chapter 3

Reliability and Risk Models based on Mixture Distributions

16 Pages

Chapter 4

Building Reliability and Risk Models

15 Pages

Chapter 5

Load-Strength(Demand-Capacity) Models

19 Pages

Chapter 6

Solving Reliability and Risk Models using A Monte Carlo Simulation

27 Pages

Chapter 7

Analysis of the Properties of Inhomogeneous Media using Monte Carlo Simulations

12 Pages

Chapter 8

Mechanisms of Failure

13 Pages

Chapter 9

Overstress Reliability Integral and Damage Factorization Law

06 Pages

Chapter 10

Determining the Probability of Failure for Components Containing Flaws

13 Pages

Chapter 11

Uncertainty Associated with the Location of the Ductile-to-Brittle Transition Region of Multi-run Welds

11 Pages

Chapter 12

Modelling the Kinetics of Deterioration of Protective Coating Due to Corrosion

07 Pages

Chapter 13

Minimizing the Probability of Failure of Automotive Suspension Springs by Delaying the Fatigue Failure Mode

06 Pages

Chapter 14

Reliability Governed by the Relative Locations of Random Variables in a Finite Domain

15 Pages

Chapter 15

Reliability Dependent on the Existence of Minimum Critical Distances between the Locations of Random Variables in a Finite Interval

18 Pages

Chapter 16

Reliability Analysis and Setting Reliability Requirements based on the Cost of Failure

27 Pages

Appendix A, B,C and D

40 Pages

References

06 Pages

Index

10 Pages

     

    There are several models that are common to reliability and risk analysis. Professor Todinov has done a good work of bringing out a book on these aspects in the form of a book published by Wiley in 2005. After presenting the basic concepts of reliability in chapter 1, the author presents in chapter 2, several distributions such as binomial. Poisson’s and negative exponential distributions etc., that are common to the reliability and risk analyses.

    0470094885In the next chapter, the author presents the model with mixture of distributions as the items may come from different sources abide different distributions and subsequently shows how to build reliability and risk models from data. Next the author presents load and strength models and how they can be solved using Monte Carlo method if analytical solution cannot be obtained straight away. He also propagates the use of Monte Carlo method in case inhomogeneity and thus allowing resolution of the material structural problems in reliability and risk assessment.

    The chapter on mechanisms of failures adds to the usefulness of the book. Some of the useful propositions on modelling of practical problems such as multi-run welds will be found useful. Another important characteristic of reliability and risk modelling is the uncertainties associated with data, and models themselves. This book deals with them at great length and should be found useful by the readers. Subsequent chapters deal with some of the problems that an analyst finds while dealing with practical problems.

    Along with classical reliability models, the book also covers a number of new, little-known reliability models. For example, the model related to existence of a minimum time interval between random failures of repairable systems, the model related to the largest possible variance from sampling properties from multiple sources and the model related to reliability dependent on random configurations.

    The book also supplies the pseudo-code of algorithms for reliability analyses and setting quantitative reliability requirements. In short, the reviewer recommends this book to anyone who is dealing with the problem of reliability and risk modelling of practical systems. The book also will be found helpful by the students and teachers who would like to comprehend various aspects of reliability and risk modelling.

     

    Krishna B. Misra

     

    Review published in the International Journal of Performability Engineering, Vol. 8, No. 4, July 2012 issue, p.426.

     


     
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