Economic Allocation of Reliability Growth Testing Using Weibull Distributions

Reliability growth testing (RGT) has been widely used for assessing the reliability of complex systems in many industries such as automotive, aerospace, and oil and gas industry. The traditional common and practiced approach of RGT is to assess the initial reliability of the system by building and t...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Awad, Mahmoud (author)
التنسيق: article
منشور في: 2016
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/11073/8804
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author Awad, Mahmoud
author_facet Awad, Mahmoud
author_role author
dc.creator.none.fl_str_mv Awad, Mahmoud
dc.date.none.fl_str_mv 2016-08
2017-03-29T08:24:17Z
2017-03-29T08:24:17Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv Awad, M. "Economic allocation of reliability growth testing using Weibull distributions", Reliability Engineering & Systems Safety, (2016), Vol. 152, 273-280. doi:10.1016/j.ress.2016.03.012
0951-8320
http://hdl.handle.net/11073/8804
10.1016/j.ress.2016.03.012
dc.language.none.fl_str_mv en_US
dc.publisher.none.fl_str_mv Elsevier
dc.relation.none.fl_str_mv http://dx.doi.org/10.1016/j.ress.2016.03.012
dc.subject.none.fl_str_mv Reliability Growth Testing
Duane
Repairable systems
dc.title.none.fl_str_mv Economic Allocation of Reliability Growth Testing Using Weibull Distributions
dc.type.none.fl_str_mv Preprint
Peer-Reviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description Reliability growth testing (RGT) has been widely used for assessing the reliability of complex systems in many industries such as automotive, aerospace, and oil and gas industry. The traditional common and practiced approach of RGT is to assess the initial reliability of the system by building and testing few prototypes for a period of time that extends from few months to years. Then, based on the initial reliability, initial testing time, and reliability target; the total testing time is determined using power law based models such as Duane and AMSAA/Crow models. In this paper, a new method is proposed to allocate RGT testing time for both subsystems and system level in order to minimize system failure rate under limited cost and time resources. Unlike existing methods, intensity failure rate is assumed to be dynamic and modeled using Weibull distribution. Modeling using Weibull is more realistic and increases the applicability of the proposed method in real life applications. The proposed method is motivated by real life examples and its effectiveness is demonstrated by real-life examples.
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identifier_str_mv Awad, M. "Economic allocation of reliability growth testing using Weibull distributions", Reliability Engineering & Systems Safety, (2016), Vol. 152, 273-280. doi:10.1016/j.ress.2016.03.012
0951-8320
10.1016/j.ress.2016.03.012
language_invalid_str_mv en_US
network_acronym_str aus
network_name_str aus
oai_identifier_str oai:repository.aus.edu:11073/8804
publishDate 2016
publisher.none.fl_str_mv Elsevier
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling Economic Allocation of Reliability Growth Testing Using Weibull DistributionsAwad, MahmoudReliability Growth TestingDuaneRepairable systemsReliability growth testing (RGT) has been widely used for assessing the reliability of complex systems in many industries such as automotive, aerospace, and oil and gas industry. The traditional common and practiced approach of RGT is to assess the initial reliability of the system by building and testing few prototypes for a period of time that extends from few months to years. Then, based on the initial reliability, initial testing time, and reliability target; the total testing time is determined using power law based models such as Duane and AMSAA/Crow models. In this paper, a new method is proposed to allocate RGT testing time for both subsystems and system level in order to minimize system failure rate under limited cost and time resources. Unlike existing methods, intensity failure rate is assumed to be dynamic and modeled using Weibull distribution. Modeling using Weibull is more realistic and increases the applicability of the proposed method in real life applications. The proposed method is motivated by real life examples and its effectiveness is demonstrated by real-life examples.Elsevier2017-03-29T08:24:17Z2017-03-29T08:24:17Z2016-08PreprintPeer-Reviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfAwad, M. "Economic allocation of reliability growth testing using Weibull distributions", Reliability Engineering & Systems Safety, (2016), Vol. 152, 273-280. doi:10.1016/j.ress.2016.03.0120951-8320http://hdl.handle.net/11073/880410.1016/j.ress.2016.03.012en_UShttp://dx.doi.org/10.1016/j.ress.2016.03.012oai:repository.aus.edu:11073/88042024-08-22T12:08:55Z
spellingShingle Economic Allocation of Reliability Growth Testing Using Weibull Distributions
Awad, Mahmoud
Reliability Growth Testing
Duane
Repairable systems
status_str publishedVersion
title Economic Allocation of Reliability Growth Testing Using Weibull Distributions
title_full Economic Allocation of Reliability Growth Testing Using Weibull Distributions
title_fullStr Economic Allocation of Reliability Growth Testing Using Weibull Distributions
title_full_unstemmed Economic Allocation of Reliability Growth Testing Using Weibull Distributions
title_short Economic Allocation of Reliability Growth Testing Using Weibull Distributions
title_sort Economic Allocation of Reliability Growth Testing Using Weibull Distributions
topic Reliability Growth Testing
Duane
Repairable systems
url http://hdl.handle.net/11073/8804