计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (33): 224-226.DOI: 10.3778/j.issn.1002-8331.2008.33.068
• 工程与应用 • 上一篇 下一篇
朱 刚1,周政新1,马 良2
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ZHU Gang1,ZHOU Zheng-xin1,MA Liang2
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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
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
朱 刚1,周政新1,马 良2. 基于元胞蚂蚁算法的故障诊断[J]. 计算机工程与应用, 2008, 44(33): 224-226.
ZHU Gang1,ZHOU Zheng-xin1,MA Liang2. Fault diagnosis based on cellular ant algorithm[J]. Computer Engineering and Applications, 2008, 44(33): 224-226.
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链接本文: http://cea.ceaj.org/CN/10.3778/j.issn.1002-8331.2008.33.068
http://cea.ceaj.org/CN/Y2008/V44/I33/224
