Modeling Repairable System with Covariates and Interval Failure Data

This thesis presents an analysis of life time data for repairable systems. We started by extending a proportional intensity model which is based on repair history to incorporate the effect of fixed and time varying covariates. We conducted simulation study to obtain the bias and efficiency of the es...

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Main Author:	Farimani, Samira Ehsani
Format:	Thesis
Language:	English English
Published:	2010
Subjects:	Maintainability (Engineering). Confidence Intervals Reliability (Engineering).
Online Access:	http://psasir.upm.edu.my/id/eprint/22111/1/FS%202010%2051R.pdf
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id	my-upm-ir.22111
record_format	uketd_dc
spelling	my-upm-ir.221112013-06-24T03:07:48Z Modeling Repairable System with Covariates and Interval Failure Data 2010-12 Farimani, Samira Ehsani This thesis presents an analysis of life time data for repairable systems. We started by extending a proportional intensity model which is based on repair history to incorporate the effect of fixed and time varying covariates. We conducted simulation study to obtain the bias and efficiency of the estimates of this model. Following that the performance of the Wald confidence interval estimation technique for the parameters of the models were investigated via a coverage probability study. The models were then applied to a real data set and hypothesis and goodness of fit tests were conducted to see the significance of the model parameters and the suitability of the models. The result of this study demonstrated the ability of the models to capture time trend, repair and covariate effects simultaneously. Next, we extended a log-linear model to accommodate interval failure data assuming an independent inspection process with time varying covariate. Following that we investigated the performance of this model at various sample sizes using tested simulated data. The Wald confidence interval estimation technique was analyzed by the coverage probability study using simulated data. Finally, the result obtained by fitting the real data from conveyor ball bearing failure to several models with interval failure data were compared and analyzed. Maintainability (Engineering). Confidence Intervals Reliability (Engineering). 2010-12 Thesis http://psasir.upm.edu.my/id/eprint/22111/ http://psasir.upm.edu.my/id/eprint/22111/1/FS%202010%2051R.pdf application/pdf en staffonly masters Universiti Putra Malaysia Maintainability (Engineering). Confidence Intervals Reliability (Engineering). Faculty of Science English
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English English
topic	Maintainability (Engineering). Confidence Intervals Reliability (Engineering).
spellingShingle	Maintainability (Engineering). Confidence Intervals Reliability (Engineering). Farimani, Samira Ehsani Modeling Repairable System with Covariates and Interval Failure Data
description	This thesis presents an analysis of life time data for repairable systems. We started by extending a proportional intensity model which is based on repair history to incorporate the effect of fixed and time varying covariates. We conducted simulation study to obtain the bias and efficiency of the estimates of this model. Following that the performance of the Wald confidence interval estimation technique for the parameters of the models were investigated via a coverage probability study. The models were then applied to a real data set and hypothesis and goodness of fit tests were conducted to see the significance of the model parameters and the suitability of the models. The result of this study demonstrated the ability of the models to capture time trend, repair and covariate effects simultaneously. Next, we extended a log-linear model to accommodate interval failure data assuming an independent inspection process with time varying covariate. Following that we investigated the performance of this model at various sample sizes using tested simulated data. The Wald confidence interval estimation technique was analyzed by the coverage probability study using simulated data. Finally, the result obtained by fitting the real data from conveyor ball bearing failure to several models with interval failure data were compared and analyzed.
format	Thesis
qualification_level	Master's degree
author	Farimani, Samira Ehsani
author_facet	Farimani, Samira Ehsani
author_sort	Farimani, Samira Ehsani
title	Modeling Repairable System with Covariates and Interval Failure Data
title_short	Modeling Repairable System with Covariates and Interval Failure Data
title_full	Modeling Repairable System with Covariates and Interval Failure Data
title_fullStr	Modeling Repairable System with Covariates and Interval Failure Data
title_full_unstemmed	Modeling Repairable System with Covariates and Interval Failure Data
title_sort	modeling repairable system with covariates and interval failure data
granting_institution	Universiti Putra Malaysia
granting_department	Faculty of Science
publishDate	2010
url	http://psasir.upm.edu.my/id/eprint/22111/1/FS%202010%2051R.pdf
_version_	1747811517945872384

Modeling Repairable System with Covariates and Interval Failure Data

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