NDLI: A Data-Driven Approach to Selecting Imperfect Maintenance Models

Content Provider	IEEE Xplore Digital Library
Author	Yu Liu Hong-Zhong Huang Xiaoling Zhang
Copyright Year	1963
Abstract	Many imperfect maintenance models have been developed to mathematically characterize the efficiency of maintenance activity from various points of view. However, the adequacy of an imperfect maintenance model must be validated before it is used in decision making. The most adequate imperfect maintenance model among the candidates to facilitate decision making is also desired. The contributions of this paper lie in three aspects: 1 it proposes an approach to conducting a goodness-of-flt test, 2 it introduces a Bayesian approach to selecting the most adequate model among several competitive candidates, and 3 it develops a framework that incorporates the model selection results into the preventive maintenance decision making. The effectiveness of the proposed methods is demonstrated by three designed numerical studies. The case studies show that the proposed methods are able to identify the most adequate model from the competitive candidates, and incorporating the model selection results into the maintenance decision model achieves better estimation for applications with limited data.
Sponsorship	IEEE Reliability Society
Starting Page	101
Ending Page	112
Page Count	12
File Size	1281938
File Format	PDF
ISSN	00189529
Volume Number	61
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data models Optical fibers Mathematical model Numerical models Preventive maintenance Computational modeling u-pooling method Bayesian model selection bootstrap sampling goodness-of-fit imperfect maintenance model
Content Type	Text
Resource Type	Article
Subject	Safety, Risk, Reliability and Quality Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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