Cover Image

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...

Full description

Saved in:
Bibliographic Details
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
http://psasir.upm.edu.my/id/eprint/22111/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.22111
record_format eprints
spelling my.upm.eprints.221112024-08-09T04:18:21Z http://psasir.upm.edu.my/id/eprint/22111/ Modeling Repairable System with Covariates and Interval Failure Data 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. 2010-12 Thesis NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/22111/1/FS%202010%2051R.pdf Farimani, Samira Ehsani (2010) Modeling Repairable System with Covariates and Interval Failure Data. Masters thesis, Universiti Putra Malaysia. Maintainability (Engineering). Confidence Intervals Reliability (Engineering). English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
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
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
publishDate 2010
url http://psasir.upm.edu.my/id/eprint/22111/1/FS%202010%2051R.pdf
http://psasir.upm.edu.my/id/eprint/22111/
_version_ 1807051103484772352
score 13.211869

Similar Items