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基于贝叶斯网络的航空发动机燃油泵故障诊断

曹惠玲,杜鹏   

  1. (taptap下载安装安卓航空工程学院,天津300300)
  • 收稿日期:2014-10-12 修回日期:2014-12-04 出版日期:2016-08-26 发布日期:2016-10-13
  • 作者简介:曹惠玲(1962—),女,河北唐山人,教授,工学博士,研究方向为航空发动机性能分析与故障诊断.
  • 基金资助:

    中央高校基本科研业务费专项(ZXH2012P007)

Failure diagnosis of aero-engine fuel pump assembly based on Bayesian network

CAO Huiling, DU Peng     

  1. (College of Aeronautical Engineering, CAUC, Tianjin 300300, China)
  • Received:2014-10-12 Revised:2014-12-04 Online:2016-08-26 Published:2016-10-13

摘要:

应用贝叶斯网络对航空发动机燃油泵组件进行理论分析,针对燃油泵组件的重要性和故障识别的精确度要求,进行故障征兆分析和概率计算、数据验证,并引入代价函数对结果进行评估,为航空发动机燃油系统安全运行提供了合理可靠的检测途径。

关键词: 贝叶斯网络, 航空发动机, 燃油泵组件, 故障诊断

Abstract:

For the importance of fuel pump assembly and the requirements of accuracy, failure analysis and probability calculations with data validation would be carried out by Bayesian network, and a cost function is introduced to evaluate the results for the safe operation of aero-engine fuel system, providing a reasonable and reliable detection and repair way.

Key words: Bayesian network, aero-engine, fuel pump assembly, fault diagnosis

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