Overview

Treating fuzzy methodology in hardware reliability and software reliability in a relatively systematic manner, this work is divided as follows: Chapter 1 places reliability engineering in the scope of a broader area, i.e. system failure engineering. Readers will find that although this book is confined to hardware and software reliability, it may be useful for other aspects of system failure engineering, like maintenance and quality control. Chapter 2 contains the elementary knowledge of fuzzy sets and possibility spaces which are required reading for the rest of this book. This chapter is included for the overall completeness of the book, but a few points (e.g. definition of conditional possibility and existence theorem of possibility space) may be new. Chapter 3 discusses how to calculate probist system reliability when the component reliabilities are represented by fuzzy numbers, and how to analyze fault trees when probabilities of basic events are fuzzy. Chapter 4 presents the basic theory of profuse reliability, whereas Chapter 5 analyzes the profuse reliability behavior of a number of engineering systems.

Full Product Details

Author:   Kai-Yuan Cai
Publisher:   Springer
Imprint:   Springer
Edition:   1996 ed.
Volume:   363
Dimensions:   Width: 15.50cm , Height: 1.90cm , Length: 23.50cm
Weight:   1.420kg
ISBN:  

9780792397373

ISBN 10:   0792397371
Pages:   311
Publication Date:   31 July 1996
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1 Introduction.- 1.1 System Failure Engineering.- 1.2 Understanding Uncertainty.- 1.3 Why Fuzzy Methodology in System Failure Engineering.- 1.4 Overview on Fuzzy Methodology in System Failure Engineering.- References.- 2 Fuzzy Sets and Possibility Spaces.- 2.1 Fuzzy Sets.- 2.2 Fuzzy Numbers.- 2.3 Possibility Spaces and Conditional Possibility.- 2.4 Possibilistic Variables.- 2.5 Existence Theorem of Possibility Space.- References.- 3 Fuzzy Methods in Probist Systems.- 3.1 Probist Reliability as a Fuzzy Number.- 3.2 Fuzzy Probist System Reliability.- 3.3 Fuzzy Probist Fault Tree Analysis.- References.- 4 Profust Reliability Theory.- 4.1 Basic Concepts.- 4.2 Typical Systems.- 4.3 Mixture Models.- 4.4 Coherent Systems.- References.- 5 Profust Reliability Behavior of Engineering Systems.- 5.1 Street-Lighting Lamps Replacement Problem.- 5.2 Gracefully Degradable Computing Systems.- 5.3 Computer Communication Networks.- 5.4 Computer Integrated Manufacturing Systems.- 5.5 Fly-by-Wire Control Systems.- References.- 6 Posbist Reliability Theory in Terms of System Lifetimes.- 6.1 System Lifetimes.- 6.2 Series Systems.- 6.3 Parallel Systems.- 6.4 Coherent Systems.- 6.5 Fault-Tolerant Systems.- References.- 7 Posbist Reliability Theory in Terms of System States.- 7.1 System States.- 7.2 Series Systems.- 7.3 Parallel Systems.- 7.4 Coherent Systems.- 7.5 Reliability Importance.- 7.6 Typical Systems with Two Types of Failures.- References.- 8 Fuzzy Methods in Software Reliability Modeling.- 8.1 Continuous-Time Software Reliability Modeling.- 8.2 Reliability Behavior of Flight Control Software.- 8.3 Software Reliability Validation.- 8.4 Discrete-Time Software Reliability Modeling.- 8.5 Combined Hardware-Software Reliability Modeling.- References.- 9 Mathematical Problems.- References.-Appendix 2 Liu-Huang Algorithm.- Appendix 3 Software Reliability Data.

Reviews

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions