基于蚁群算法的机械故障智能诊断方法研究
기우의군산법적궤계고장지능진단방법연구
Research on Intelligent Diagnosis Method of Machinery Fault Based on Ant Colony Algorithm
  • 万方数据
    机械研究与应用 궤계연구여응용
    MECHANICAL RESEARCH & APPLICATION
    2014年 6期 15-17 ,共3页

    吴伟%桂博翔

    오위%계박상

    蚁群算法%BP神经网络%聚类分析 蟻群算法%BP神經網絡%聚類分析
    의군산법%BP신경망락%취류분석
    ant colony algorithm%BP neural network%clustering analysis
    介绍了蚁群算法基本原理，实验验证了蚁群聚类算法可用于轴承故障诊断，对比蚁群算法和BP神经网络在故障诊断中的不同，分析了蚁群算法在故障模式识别中的特点。
    개소료의군산법기본원리，실험험증료의군취류산법가용우축승고장진단，대비의군산법화BP신경망락재고장진단중적불동，분석료의군산법재고장모식식별중적특점。
    The basic principles of ant colony algorithm is introduced, and it is proved that the ant colony clustering algorithm can be used for bearing fault diagnosis through experiments, and the difference between ant colony algorithm and BP neural network in fault diagnosis is compared, and the characteristics of ant colony algorithm in fault pattern recognition is analyzed.
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