中国空间科学技术

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粗糙集在卫星电源系统故障诊断中的应用研究

安若铭;谷吉海;何传严;姜兴渭;   

  1. 哈尔滨工业大学航天学院;哈尔滨商业大学机电工程学院;
  • 发布日期:2008-08-25

Research on Rough Set Applied to Satellite Power System Fault Diagnosis

An Ruoming~1 Gu Jihai~2 He Chuanyan~1 Jiang Xingwei~1 (1 School of Astronautics,Harbin Institute of Technology,Harbin 150001) (2 College of Mechanical-electronic Engineering,Harbin University of Commerce,Harbin 150028)   

  • Online:2008-08-25
  • Supported by:
    黑龙江省自然科学基金(E200615)

被引次数

8

摘要： 为了提高多故障诊断算法在诊断信息不完备时的诊断能力,引入粗糙集技术。对粗糙集技术中决策表的约简问题进行了深入地研究,给出了约简算法;详细论述了已有的实时诊断算法的步骤和缺点,把粗糙集技术和其诊断算法相结合,给出了改进的诊断算法。将此技术应用于卫星电源系统的故障诊断中,在缺少征兆信息的情况下仍能正确地进行实时诊断,表明可以提高诊断能力和效率。

关键词: 故障诊断, 粗糙集, 决策表, 电源系统, 卫星

Abstract: Rough Set technique is introduced for increasing the diagnosis capability of multi- fault diagnosis algorithm when diagnosis knowledge is not mature.The reduction problem of decision table,which is one of Rough Set techniques,is researched.The reduced algorithm was given.The step and disadvantages of the diagnosis algorithm was discussed in detail.The Rough Set technique and the diagnosis algorithm were combined.The modified diagnosis algorithm was put forward.The technology was applied to fault diagnosis of a satellite power system.Real time diag- nosis can be proceed successfully while lack of symptom information is lack.It proved that the diag- nosis capability and efficiency was increased.

Key words: Fault Diagnosis, Rough set, Fault diagnosis, Power system, Satellite