Models With Failure Free Life - Applied Review and Extensions

Fundamental engineering considerations in many real-world reliability engineering applications result in the need for using a statistical distribution with a failure free life (FFL) parameter. These include usual failure time models as well as specialized repair time models (for maintenance planning...

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Main Authors: Shao, Wei Lam, Halim , Tony, Kanesan , Muthusamy
Format: Article
Published: 2010
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Online Access:https://library.oum.edu.my/repository/528/
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author Shao, Wei Lam
Halim , Tony
Kanesan , Muthusamy
author_facet Shao, Wei Lam
Halim , Tony
Kanesan , Muthusamy
author_sort Shao, Wei Lam
building OUM Library
collection Institutional Repository
content_provider Open University Malaysia
content_source OUM Knowledge Repository
continent Asia
country Malaysia
description Fundamental engineering considerations in many real-world reliability engineering applications result in the need for using a statistical distribution with a failure free life (FFL) parameter. These include usual failure time models as well as specialized repair time models (for maintenance planning) and breakdown voltage models used for voltage endurance studies of electrical insulations. In this paper, some commonly encountered statistical distributions with failure free life are described together with a review of practical applications. From the literature, the 3-parameter Weibull distribution has been found to be the most common statistical distribution used when failure free life is considered. Some estimation procedures for the 3-parameter Weibull distribution are discussed and a new modified maximum likelihood type approach which leverages on the empirical cumulative distribution function is proposed in this paper. Two case studies considering complete and censored data are discussed. (Authors' abstract)
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institution Open University Malaysia
publishDate 2010
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spelling my.oum.5282011-02-21T01:17:42Z Models With Failure Free Life - Applied Review and Extensions Shao, Wei Lam Halim , Tony Kanesan , Muthusamy TA Engineering (General). Civil engineering (General) Fundamental engineering considerations in many real-world reliability engineering applications result in the need for using a statistical distribution with a failure free life (FFL) parameter. These include usual failure time models as well as specialized repair time models (for maintenance planning) and breakdown voltage models used for voltage endurance studies of electrical insulations. In this paper, some commonly encountered statistical distributions with failure free life are described together with a review of practical applications. From the literature, the 3-parameter Weibull distribution has been found to be the most common statistical distribution used when failure free life is considered. Some estimation procedures for the 3-parameter Weibull distribution are discussed and a new modified maximum likelihood type approach which leverages on the empirical cumulative distribution function is proposed in this paper. Two case studies considering complete and censored data are discussed. (Authors' abstract) 2010 Article PeerReviewed Shao, Wei Lam and Halim , Tony and Kanesan , Muthusamy (2010) Models With Failure Free Life - Applied Review and Extensions. IEEE transactions on device and material realibility, 10 (2). ISSN 1530-4388 https://library.oum.edu.my/repository/528/
spellingShingle TA Engineering (General). Civil engineering (General)
Shao, Wei Lam
Halim , Tony
Kanesan , Muthusamy
Models With Failure Free Life - Applied Review and Extensions
title Models With Failure Free Life - Applied Review and Extensions
title_full Models With Failure Free Life - Applied Review and Extensions
title_fullStr Models With Failure Free Life - Applied Review and Extensions
title_full_unstemmed Models With Failure Free Life - Applied Review and Extensions
title_short Models With Failure Free Life - Applied Review and Extensions
title_sort models with failure free life - applied review and extensions
topic TA Engineering (General). Civil engineering (General)
url https://library.oum.edu.my/repository/528/
url_provider http://library.oum.edu.my/repository/