Franklin

Advanced Reliability Modeling.

Author/Creator:
Dohi, Tadashi.
Publication:
Bradford : Emerald Publishing Limited, 2005.
Format/Description:
Book
1 online resource (111 pages)
Series:
Journal of Quality in Maintenance Engineering
Journal of Quality in Maintenance Engineering ; v.11
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Subjects:
Quality control.
Total quality management.
Form/Genre:
Electronic books.
Summary:
This e-book contains selected papers invited/presented in the Asian International Workshop on Advanced Reliability Modeling (AIWARM) which was held in Hiroshima, Japan, August 26-27, 2004. 78 papers from Asian and European area were presented at the workshop. This e-book is intended to share the ideas and results from the workshop with more reliability researchers and practitioners. Various and promising research topics are included; maintenance problems in shock models, replacement model with spare part provisioning, analysis of system operating data with fuzzy set, new algorithms in redundancy optimization problems, reliability evaluation of 3-dimensional and communication network systems, calculation problem of top-event probability in complex fault tree, sampling plans under accelerated tests, reliability design using Petri nets, and performance evaluation and modeling in software reliability.
Contents:
Intro
CONTENTS
EDITORIAL ADVISORY BOARD
Guest editorial
A discrete-time order-replacement model with time discounting and spare part provisioning
A random shock model for a continuously deteriorating system
Optimal preventive maintenance policies for a shock model with given damage level
An optimal policy for partially observable Markov decision processes with non-independent monitors
SNEM: a new approach to evaluate terminal pair reliability of communication networks
Evaluating methods for the reliability of a three-dimensional k-within system
Fuzzy set-valued and grey filtering statistical inferences on a system operating data
Failure rate prediction with artificial neural networks.
Notes:
Description based on publisher supplied metadata and other sources.
Local notes:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2021. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Contributor:
Kaio, Naoto.
Yun, Won Young.
Other format:
Print version: Dohi, Tadashi Advanced Reliability Modeling
ISBN:
9781845447526
9781845447519
OCLC:
62457464