Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (33): 224-226.DOI: 10.3778/j.issn.1002-8331.2008.33.068

• 工程与应用 • Previous Articles     Next Articles

Fault diagnosis based on cellular ant algorithm

ZHU Gang1,ZHOU Zheng-xin1,MA Liang2   

  1. 1.College of Electronic and Electric Engineering,Shanghai Second Polytechnic University,Shanghai 201209,China
    2.College of Management,University of Shanghai for Science and Technology,Shanghai 200093,China
  • Received:2007-12-10 Revised:2008-03-03 Online:2008-11-21 Published:2008-11-21
  • Contact: ZHU Gang


朱 刚1,周政新1,马 良2   

  1. 1.上海第二工业大学 电子与电气工程学院,上海 201209
    2.上海理工大学 管理学院,上海 200093
  • 通讯作者: 朱 刚

Abstract: A new kind of fault diagnosis based on cellular ant algorithm is presented.The method realizes classification of fault by near-neighborhood criteria of pattern recognition and cellular ant algorithm.The simulation results show that the method is efficient for fault diagnosis.

Key words: fault diagnosis, cellular ant algorithm, near-neighborhood criteria

摘要: 提出一种基于元胞蚂蚁算法的故障诊断方式。该方法利用模式识别中的近邻准则,使用元胞蚂蚁算法实现故障的分类,达到故障诊断的目的。最后用一实例进行仿真,结果表明该方法拥有较强的可行性和实用性。

关键词: 故障诊断, 元胞蚂蚁算法, 近邻准则