FAILURE RATE ANALYSIS OF BOEING 737 BRAKES EMPLOYING NEURAL NETWORK
The failure rate analysis of brake assemblies of a commercial airplane, i.e., Boeing 737, is analyzed using the artificial neural network and Weibull regression models. One-layered feed-forward back-propagation algorithm for artificial neural network whereas three parameters model for Weibull are us...
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| Other Authors: | , , , |
| Format: | article |
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2007
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| Online Access: | https://eprints.kfupm.edu.sa/id/eprint/478/1/Paper_IJRQSE.pdf |
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| _version_ | 1864513388518834176 |
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| author | Al-Garni, Ahmed Z. |
| author2 | Jamal, Ahmad Saeed, Farooq kassem, Ayman H. unknown |
| author2_role | author author author author |
| author_facet | Al-Garni, Ahmed Z. Jamal, Ahmad Saeed, Farooq kassem, Ayman H. unknown |
| author_role | author |
| dc.creator.none.fl_str_mv | Al-Garni, Ahmed Z. Jamal, Ahmad Saeed, Farooq kassem, Ayman H. unknown |
| dc.date.none.fl_str_mv | 2007-10-10 2020 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/478/1/Paper_IJRQSE.pdf (2007) FAILURE RATE ANALYSIS OF BOEING 737 BRAKES EMPLOYING NEURAL NETWORK. International Journal of Reliability, Quality and Safety Engineering. (Submitted) |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | World Scientific Publishing Company |
| dc.relation.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/478/ |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Aerospace |
| dc.title.none.fl_str_mv | FAILURE RATE ANALYSIS OF BOEING 737 BRAKES EMPLOYING NEURAL NETWORK |
| dc.type.none.fl_str_mv | Article NonPeerReviewed info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | The failure rate analysis of brake assemblies of a commercial airplane, i.e., Boeing 737, is analyzed using the artificial neural network and Weibull regression models. One-layered feed-forward back-propagation algorithm for artificial neural network whereas three parameters model for Weibull are used for the analysis. Three years of data are used for model building and validation. The results show that the failure rate predicted by neural network is closer in agreement with the actual data than the failure rate predicted by the Weibull model. Results also indicate that neural network can be effectively integrated into an aviation maintenance facility computerized material requirement planning system to forecast the number of brake assemblies needed for a given planning horizon. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | KFUPM_d631ac9c6b6bef6ee05e886d43526651 |
| identifier_str_mv | (2007) FAILURE RATE ANALYSIS OF BOEING 737 BRAKES EMPLOYING NEURAL NETWORK. International Journal of Reliability, Quality and Safety Engineering. (Submitted) |
| language_invalid_str_mv | en |
| network_acronym_str | KFUPM |
| network_name_str | King Fahd University of Petroleum and Minerals |
| oai_identifier_str | oai::478 |
| publishDate | 2007 |
| publisher.none.fl_str_mv | World Scientific Publishing Company |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | FAILURE RATE ANALYSIS OF BOEING 737 BRAKES EMPLOYING NEURAL NETWORKAl-Garni, Ahmed Z.Jamal, AhmadSaeed, Farooqkassem, Ayman H.unknownAerospaceThe failure rate analysis of brake assemblies of a commercial airplane, i.e., Boeing 737, is analyzed using the artificial neural network and Weibull regression models. One-layered feed-forward back-propagation algorithm for artificial neural network whereas three parameters model for Weibull are used for the analysis. Three years of data are used for model building and validation. The results show that the failure rate predicted by neural network is closer in agreement with the actual data than the failure rate predicted by the Weibull model. Results also indicate that neural network can be effectively integrated into an aviation maintenance facility computerized material requirement planning system to forecast the number of brake assemblies needed for a given planning horizon.World Scientific Publishing Company2007-10-102020ArticleNonPeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/478/1/Paper_IJRQSE.pdf (2007) FAILURE RATE ANALYSIS OF BOEING 737 BRAKES EMPLOYING NEURAL NETWORK. International Journal of Reliability, Quality and Safety Engineering. (Submitted) enhttps://eprints.kfupm.edu.sa/id/eprint/478/info:eu-repo/semantics/openAccessoai::4782019-11-01T13:24:02Z |
| spellingShingle | FAILURE RATE ANALYSIS OF BOEING 737 BRAKES EMPLOYING NEURAL NETWORK Al-Garni, Ahmed Z. Aerospace |
| status_str | publishedVersion |
| title | FAILURE RATE ANALYSIS OF BOEING 737 BRAKES EMPLOYING NEURAL NETWORK |
| title_full | FAILURE RATE ANALYSIS OF BOEING 737 BRAKES EMPLOYING NEURAL NETWORK |
| title_fullStr | FAILURE RATE ANALYSIS OF BOEING 737 BRAKES EMPLOYING NEURAL NETWORK |
| title_full_unstemmed | FAILURE RATE ANALYSIS OF BOEING 737 BRAKES EMPLOYING NEURAL NETWORK |
| title_short | FAILURE RATE ANALYSIS OF BOEING 737 BRAKES EMPLOYING NEURAL NETWORK |
| title_sort | FAILURE RATE ANALYSIS OF BOEING 737 BRAKES EMPLOYING NEURAL NETWORK |
| topic | Aerospace |
| url | https://eprints.kfupm.edu.sa/id/eprint/478/1/Paper_IJRQSE.pdf |