The Universal Generating Function in Reliability Analysis and Optimization

The Universal Generating Function in Reliability Analysis and Optimization
Author :
Publisher : Springer Science & Business Media
Total Pages : 472
Release :
ISBN-10 : 1852339276
ISBN-13 : 9781852339272
Rating : 4/5 (272 Downloads)

Book Synopsis The Universal Generating Function in Reliability Analysis and Optimization by : Gregory Levitin

Download or read book The Universal Generating Function in Reliability Analysis and Optimization written by Gregory Levitin and published by Springer Science & Business Media. This book was released on 2005-08-19 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many real-world systems in engineering are composed of multi-state components that have different performance levels and several failure modes. These have effects on the entire system’s performance. Most books on reliability theory are devoted to traditional binary models that only allow a system either to function perfectly or fail completely. The Universal Generating Function in Reliability Analysis and Optimization is the first book that gives a comprehensive description of the universal generating function technique and its applications in both binary and multi-state system reliability analysis. Features: an introduction to the basic tools used in multi-state system reliability and optimization; applications of the universal generating function in the most widely used multi-state systems; several examples of how the universal generating function can be adapted to different systems in mechanical, industrial and software engineering. The Universal Generating Function in Reliability Analysis and Optimization will be of value to all those interested in multi-state systems in industrial, electrical and nuclear engineering. The Springer Series in Reliability Engineering publishes high-quality books in important areas of current theoretical research and development in reliability, and in areas that bridge the gap between theory and application in areas of interest to practitioners in industry, laboratories, business, and government.


The Universal Generating Function in Reliability Analysis and Optimization Related Books

The Universal Generating Function in Reliability Analysis and Optimization
Language: en
Pages: 472
Authors: Gregory Levitin
Categories: Computers
Type: BOOK - Published: 2005-08-19 - Publisher: Springer Science & Business Media

GET EBOOK

Many real-world systems in engineering are composed of multi-state components that have different performance levels and several failure modes. These have effec
Handbook of Reliability Engineering
Language: en
Pages: 676
Authors: Hoang Pham
Categories: Science
Type: BOOK - Published: 2006-04-12 - Publisher: Springer Science & Business Media

GET EBOOK

An effective reliability programme is an essential component of every product's design, testing and efficient production. From the failure analysis of a microel
Modern Dynamic Reliability Analysis for Multi-state Systems
Language: en
Pages: 195
Authors: Anatoly Lisnianski
Categories: Technology & Engineering
Type: BOOK - Published: 2020-08-24 - Publisher: Springer Nature

GET EBOOK

This book discusses recent developments in dynamic reliability in multi-state systems (MSS), addressing such important issues as reliability and availability an
Risk, Reliability and Safety: Innovating Theory and Practice
Language: en
Pages: 4767
Authors: Lesley Walls
Categories: Technology & Engineering
Type: BOOK - Published: 2016-11-25 - Publisher: CRC Press

GET EBOOK

The safe and reliable performance of many systems with which we interact daily has been achieved through the analysis and management of risk. From complex infra
Recent Advances in System Reliability
Language: en
Pages: 323
Authors: Anatoly Lisnianski
Categories: Science
Type: BOOK - Published: 2011-10-01 - Publisher: Springer Science & Business Media

GET EBOOK

Recent Advances in System Reliability discusses developments in modern reliability theory such as signatures, multi-state systems and statistical inference. It