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Modeling repairable system failures with interval failure data and time dependent covariate

An application of a repairable system model for interval failure data with a time dependent covariate is examined. The performance of several models based on the NHPP when applied to real data on ball bearing failures is also explored. The best model for the data was selected based on results of the...

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Main Authors: Arasan, Jayanthi, Farimani, Samira Ehsani
Format: Article
Language:English
Published: JMASM 2011
Online Access:http://psasir.upm.edu.my/id/eprint/60597/1/Modeling%20repairable%20system%20failures%20with%20interval%20failure%20data%20and%20time%20dependent%20covariate.pdf
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spelling oai:psasir.upm.edu.my:60597 http://psasir.upm.edu.my/id/eprint/60597/ Modeling repairable system failures with interval failure data and time dependent covariate Arasan, Jayanthi Farimani, Samira Ehsani An application of a repairable system model for interval failure data with a time dependent covariate is examined. The performance of several models based on the NHPP when applied to real data on ball bearing failures is also explored. The best model for the data was selected based on results of the likelihood ratio test. The bootstrapping technique was applied to obtain the variance estimate for the estimated expected number of failures. Results demonstrate that the proposed model works well and is easy to implement, in addition the bootstrap variance estimate provides a simple substitute for the traditional estimate. JMASM 2011 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/60597/1/Modeling%20repairable%20system%20failures%20with%20interval%20failure%20data%20and%20time%20dependent%20covariate.pdf Arasan, Jayanthi and Farimani, Samira Ehsani (2011) Modeling repairable system failures with interval failure data and time dependent covariate. Journal of Modern Applied Statistical Methods, 10 (2). pp. 618-624. ISSN 1538-9472 https://digitalcommons.wayne.edu/jmasm/vol10/iss2/19/ 10.22237/jmasm/1320121080
institution UPM IR
collection UPM IR
language English
description An application of a repairable system model for interval failure data with a time dependent covariate is examined. The performance of several models based on the NHPP when applied to real data on ball bearing failures is also explored. The best model for the data was selected based on results of the likelihood ratio test. The bootstrapping technique was applied to obtain the variance estimate for the estimated expected number of failures. Results demonstrate that the proposed model works well and is easy to implement, in addition the bootstrap variance estimate provides a simple substitute for the traditional estimate.
format Article
author Arasan, Jayanthi
Farimani, Samira Ehsani
spellingShingle Arasan, Jayanthi
Farimani, Samira Ehsani
Modeling repairable system failures with interval failure data and time dependent covariate
author_facet Arasan, Jayanthi
Farimani, Samira Ehsani
author_sort Arasan, Jayanthi
title Modeling repairable system failures with interval failure data and time dependent covariate
title_short Modeling repairable system failures with interval failure data and time dependent covariate
title_full Modeling repairable system failures with interval failure data and time dependent covariate
title_fullStr Modeling repairable system failures with interval failure data and time dependent covariate
title_full_unstemmed Modeling repairable system failures with interval failure data and time dependent covariate
title_sort modeling repairable system failures with interval failure data and time dependent covariate
publisher JMASM
publishDate 2011
url http://psasir.upm.edu.my/id/eprint/60597/1/Modeling%20repairable%20system%20failures%20with%20interval%20failure%20data%20and%20time%20dependent%20covariate.pdf
_version_ 1819298050742419456
score 13.4562235

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