Reliability Assessment Based on Multivariate Degradation Measures and Competing Failure Analysis

An reliability assessment model based on multivariate degradation measures and competing failure analysis is presented. The multi-dimensionality reduction processing has applied to multivariate degradation measures to extract the key features for ease of calculation. The cumulative distribution func...

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Veröffentlicht in:	Modern applied science 2011-12, Vol.5 (6), p.232-232
Hauptverfasser:	Liang, Zhu, Jun, Yan, Ling, Haifeng, Su, Zhenglian
Format:	Artikel
Sprache:	eng
Schlagworte:	Assessments Degradation Distribution functions Failure Failure analysis Mathematical models Reduction Time domain
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container_title	Modern applied science
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creator	Liang, Zhu Jun, Yan Ling, Haifeng Su, Zhenglian
description	An reliability assessment model based on multivariate degradation measures and competing failure analysis is presented. The multi-dimensionality reduction processing has applied to multivariate degradation measures to extract the key features for ease of calculation. The cumulative distribution function of sudden failure is calculated in terms of degradation data rather than time domains, and the reliability assessment model based on competing failure analysis is established. An example of an equipment component with competing failure data is applied to verify the validate of the model.
doi_str_mv	10.5539/mas.v5n6p232
format	Article
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subjects	Assessments Degradation Distribution functions Failure Failure analysis Mathematical models Reduction Time domain
title	Reliability Assessment Based on Multivariate Degradation Measures and Competing Failure Analysis
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