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Volume 27 Issue 6
Jun.  2001
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Journal of Beijing University of Aeronautics and Astronautics  > 2001  >  27(6): 706-708.
ZHU Xin-yu, SHEN Song-hua. Fault Diagnosis Expert System for Aircraft Electric Power System[J]. Journal of Beijing University of Aeronautics and Astronautics, 2001, 27(6): 706-708. (in Chinese)
Citation: ZHU Xin-yu, SHEN Song-hua. Fault Diagnosis Expert System for Aircraft Electric Power System[J]. Journal of Beijing University of Aeronautics and Astronautics, 2001, 27(6): 706-708. (in Chinese)
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Fault Diagnosis Expert System for Aircraft Electric Power System

  • Beijing University of Aeronautics and Astronautics, Dept. of Automatic Control

  • Received Date: 28 Mar 2000
  • Publish Date: 30 Jun 2001
    Abstract
  • Based on artificial intelligence theory, the authors developed aircraft electric power system monitoring unit. By using expert system theory, some aircraft electric power system across-the-aboard has been analyzed. The state monitoring and fault diagnosis can be carried out and the information of abnormality or fault can be given. By using the expert system with actual applying value, the experience to diagnose fault has been presented for all non-alionics system.

     

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  • [1] 曾天祥. 电子设备测试性及诊断性技术[M]. 北京:航空工业出版社,1995． [2] 李春香,陈圣宁. 分析银镁铸件缺陷的专家系统[J].模式识别与人工智能,1998,11(2):233~238． [3] 杨以涵.专家系统及其在电力系统中的应用[M]. 北京:水利电力出版社,1995． [4] 张定会,邵惠鹤. 实时故障诊断专家系统的研究及实现[J]. 电气自动化,1999,(2),16~18． [5] 马玉祥,武 波,周国栋.专家系统[M]. 成都:电子科技大学出版社,1994． [6] 闻 新,张洪钺.控制系统的故障诊断和容错控制[M]. 北京:机械工业出版社,1998．
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