中国空间科学技术

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免疫系统的反面选择算法在故障诊断中的应用

谷吉海,姜兴渭,刘树林,宋立辉   

  1. 哈尔滨工业大学,哈尔滨工业大学,哈尔滨工业大学,哈尔滨工业大学 哈尔滨150001 ,哈尔滨150001 ,哈尔滨150001 ,哈尔滨150001
  • 发布日期:2002-04-25

Application of Negative-selection Algorithm of Immune-System for Fault Diagnosis

Gu Jihai Jiang Xingwei Liu Shulin Song Lihui (Harbin Institute of Technology,Harbin 150001)   

  • Published:2002-04-25
  • Supported by:
    国家 8 63基金资助项目 (863 -2 -4-5 -1 )

摘要： 生物免疫系统的主要功能就是检测和杀伤来自生物体内和体外称为抗原的非己物质 ,受免疫系统自己—非己识别机理的启发提出的反面选择算法能检测任何异常变化。文章结合航天器故障诊断的特点对反面选择算法进行了改进 ,提出了对卫星电源分系统实时故障诊断的新方法。通过诊断实例表明该方法是有效可行的 ,能对卫星电源系统的故障准确、快速的实时诊断。

关键词: 反面选择算法, 故障诊断

Abstract: The main task of the immune system is to detect and eliminate the non self materials called antigens such as virus and cancer cells which come from inside and outside of the living system The negative selection algorthm proposed which is inspired by the negative selection mechanism of the immune system is able to detect any change The algorithm is improved to make it suitable for the fault diagnosis of spacecraft Moreover,based on the improved algorithm a new method of fault diagnosis of satellite power system is proposed and its feasibility is proved by on line fault diagnosis of satellite power system successfully