A Reliability Evaluation Method for System's Dependent Competition Failure and Multi-Parameter Degradation Failure
In order to enhance the reliability of a system that has dependent competition failure, a reliability evaluation method is proposed to evaluate the dependent competition failure and multi-parameter degradation failure. The multi-parameter degradation failure process is described with the Wiener stoc...
Format: | Article |
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Language: | zho |
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EDP Sciences
2019-12-01
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Series: | Xibei Gongye Daxue Xuebao |
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Online Access: | https://www.jnwpu.org/articles/jnwpu/full_html/2019/06/jnwpu2019376p1191/jnwpu2019376p1191.html |
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collection | DOAJ |
description | In order to enhance the reliability of a system that has dependent competition failure, a reliability evaluation method is proposed to evaluate the dependent competition failure and multi-parameter degradation failure. The multi-parameter degradation failure process is described with the Wiener stochastic process and the inverse Gaussian stochastic process. The Copula function is used to model the system's multi-degradation failure process. The two-stage maximum likelihood method is used to estimate the degradation failure parameters. The conditional probability of dependent competition failure in terms of degradation degree is established. The Bayes-Bootstrap method is utilized to correct the dependent competition failure parameters obtained with the maximum likelihood method and to further establish the system's dependent competition failure model. The degradation data of an aero-engine is used as an example to analyze the reliability under competition between dependent competition failure and multi-parameter degradation failure. The analysis results can effectively demonstrate the reliability of an aero-engine's performance and verify the validity of the model, thus having good engineering application values. |
first_indexed | 2024-03-09T08:56:59Z |
format | Article |
id | doaj.art-3d1c9cb234694fd19ed2a39e924558f4 |
institution | Directory Open Access Journal |
issn | 1000-2758 2609-7125 |
language | zho |
last_indexed | 2024-03-09T08:56:59Z |
publishDate | 2019-12-01 |
publisher | EDP Sciences |
record_format | Article |
series | Xibei Gongye Daxue Xuebao |
spelling | doaj.art-3d1c9cb234694fd19ed2a39e924558f42023-12-02T12:47:37ZzhoEDP SciencesXibei Gongye Daxue Xuebao1000-27582609-71252019-12-013761191119910.1051/jnwpu/20193761191jnwpu2019376p1191A Reliability Evaluation Method for System's Dependent Competition Failure and Multi-Parameter Degradation Failure01Department of Mechatronics and Vehicle Engineering, Chongqing Jiaotong UniversityDepartment of Mechatronics and Vehicle Engineering, Chongqing Jiaotong UniversityIn order to enhance the reliability of a system that has dependent competition failure, a reliability evaluation method is proposed to evaluate the dependent competition failure and multi-parameter degradation failure. The multi-parameter degradation failure process is described with the Wiener stochastic process and the inverse Gaussian stochastic process. The Copula function is used to model the system's multi-degradation failure process. The two-stage maximum likelihood method is used to estimate the degradation failure parameters. The conditional probability of dependent competition failure in terms of degradation degree is established. The Bayes-Bootstrap method is utilized to correct the dependent competition failure parameters obtained with the maximum likelihood method and to further establish the system's dependent competition failure model. The degradation data of an aero-engine is used as an example to analyze the reliability under competition between dependent competition failure and multi-parameter degradation failure. The analysis results can effectively demonstrate the reliability of an aero-engine's performance and verify the validity of the model, thus having good engineering application values.https://www.jnwpu.org/articles/jnwpu/full_html/2019/06/jnwpu2019376p1191/jnwpu2019376p1191.htmlmulti-parameter degradationcompetition failurecopula functiontwo-stage maximum likelihood methodbayes-bootstrap method |
spellingShingle | A Reliability Evaluation Method for System's Dependent Competition Failure and Multi-Parameter Degradation Failure Xibei Gongye Daxue Xuebao multi-parameter degradation competition failure copula function two-stage maximum likelihood method bayes-bootstrap method |
title | A Reliability Evaluation Method for System's Dependent Competition Failure and Multi-Parameter Degradation Failure |
title_full | A Reliability Evaluation Method for System's Dependent Competition Failure and Multi-Parameter Degradation Failure |
title_fullStr | A Reliability Evaluation Method for System's Dependent Competition Failure and Multi-Parameter Degradation Failure |
title_full_unstemmed | A Reliability Evaluation Method for System's Dependent Competition Failure and Multi-Parameter Degradation Failure |
title_short | A Reliability Evaluation Method for System's Dependent Competition Failure and Multi-Parameter Degradation Failure |
title_sort | reliability evaluation method for system s dependent competition failure and multi parameter degradation failure |
topic | multi-parameter degradation competition failure copula function two-stage maximum likelihood method bayes-bootstrap method |
url | https://www.jnwpu.org/articles/jnwpu/full_html/2019/06/jnwpu2019376p1191/jnwpu2019376p1191.html |