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基于贝叶斯网络的故障诊断系统性能评价

于劲松 沈琳 唐荻音 刘浩

于劲松, 沈琳, 唐荻音, 等 . 基于贝叶斯网络的故障诊断系统性能评价[J]. 北京航空航天大学学报, 2016, 42(1): 35-40. doi: 10.13700/j.bh.1001-5965.2015.0070
引用本文: 于劲松, 沈琳, 唐荻音, 等 . 基于贝叶斯网络的故障诊断系统性能评价[J]. 北京航空航天大学学报, 2016, 42(1): 35-40. doi: 10.13700/j.bh.1001-5965.2015.0070
YU Jinsong, SHEN Lin, TANG Diyin, et al. Performance evaluation of fault diagnosis system based on Bayesian network[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(1): 35-40. doi: 10.13700/j.bh.1001-5965.2015.0070(in Chinese)
Citation: YU Jinsong, SHEN Lin, TANG Diyin, et al. Performance evaluation of fault diagnosis system based on Bayesian network[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(1): 35-40. doi: 10.13700/j.bh.1001-5965.2015.0070(in Chinese)

基于贝叶斯网络的故障诊断系统性能评价

doi: 10.13700/j.bh.1001-5965.2015.0070
详细信息
    作者简介:

    于劲松男,副教授,硕士生导师。主要研究方向:预测与健康管理技术、自动测试系统。Tel.:010-82338693E-mail:jinsong_yu@126.com

    通讯作者:

    于劲松,Tel.:010-82338693E-mail:jinsong_yu@126.com

  • 中图分类号: TP277

Performance evaluation of fault diagnosis system based on Bayesian network

  • 摘要: 故障诊断系统的性能评价是开发和验收故障诊断系统不可或缺的重要环节.针对基于贝叶斯网络(BN)故障诊断系统的性能评价需要,考虑系统诊断结果真实分布,提出采用二项分布参数估计方法来计算诊断准确度的置信区间,采用准确度期望值及其置信区间全面客观评价诊断模型的性能,形成贝叶斯网络模型诊断能力的量化评价指标,为诊断结果的可接受、可信程度以及诊断模型的训练充分性提供参考依据.最后通过燃油系统故障诊断实例验证所述性能评价的有效性.

     

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出版历程
  • 收稿日期:  2015-01-31
  • 刊出日期:  2016-01-20

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