NDLI: Imperfect Repair Proportional Intensity Models for Maintained Systems

Content Provider	IEEE Xplore Digital Library
Author	Syamsundar, A. Naikan, V.N.A.
Copyright Year	1963
Abstract	The failure processes of a maintained system can be studied from the failure data using imperfect repair models. Additional information on the failure process can also be utilized in the form of covariates using proportional intensity models for getting more realistic results. Both these models can be combined to form imperfect repair proportional intensity models making use of the times to failure and the covariate data together. Such models have been proposed earlier with imperfect repair models using maximal repair baseline intensity. One model GPIM has been proposed using minimal repair baseline intensity. This paper proposes ARA and ARI imperfect repair proportional intensity models using minimal repair baseline intensity. These models are then applied to the field data from an industrial-setting to demonstrate that appropriate parameter estimates for such phenomena can be obtained, and such models are shown to more closely describe the failure processes of a maintained system.
Sponsorship	IEEE Reliability Society
Starting Page	782
Ending Page	787
Page Count	6
File Size	143597
File Format	PDF
ISSN	00189529
Volume Number	60
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maintenance engineering Data models Numerical models Stochastic processes repairable system Imperfect repair industrial maintenance intensity process likelihood function maintained system minimal repair point process power law process proportional intensity
Content Type	Text
Resource Type	Article
Subject	Safety, Risk, Reliability and Quality Electrical and Electronic Engineering

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