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多因素影响下的压缩机压缩系统可靠性建模与评估

易春兰 张斌 宋宇飞 牟晨 胡嘉蕊

机械科学与技术2025,Vol.44Issue(10):1793-1800,8.
机械科学与技术2025,Vol.44Issue(10):1793-1800,8.DOI:10.13433/j.cnki.1003-8728.20230363

多因素影响下的压缩机压缩系统可靠性建模与评估

Reliability Modeling and Evaluation of Compression System Considering Multiple Factors Influence

易春兰 1张斌 1宋宇飞 1牟晨 1胡嘉蕊1

作者信息

  • 1. 航空工业成都飞机工业(集团)有限责任公司,成都 610073
  • 折叠

摘要

Abstract

With the increasing degree of intelligence,digitization and integration of modern large-scale electromechanical systems,traditional reliability modeling and analysis techniques can no longer meet the evaluation needs of modern complex systems characterized by epistemic uncertainty and related failures.Interval analysis method is combined with Bayesian network to establish an interval Bayesian network.In the Bayesian network,component failure rates are described in the form of intervals.Under the framework of interval Bayesian network,the Copula theory is fused to analyze the failure dependence in the system,and the reliability analysis and evaluation method of complex system based on interval Bayesian network is proposed.Finally,the method is applied to the reliability modeling and evaluation of a compression system.Through the analysis of the real system,the effectiveness of the system reliability analysis method under the influence of multiple factors is demonstrated.

关键词

认知不确定性/区间贝叶斯网络/Copula理论/相关失效/压缩系统

Key words

epistemic uncertainty/Bayesian network/Copula theory/failure dependence/compression system

分类

金属材料

引用本文复制引用

易春兰,张斌,宋宇飞,牟晨,胡嘉蕊..多因素影响下的压缩机压缩系统可靠性建模与评估[J].机械科学与技术,2025,44(10):1793-1800,8.

机械科学与技术

OA北大核心

1003-8728

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