基于遗传编程的机械故障分类器研究模型
기우유전편정적궤계고장분류기연구모형
The classification of mechanical failure based on genetic programming
  • 万方数据
    科技致富向导 과기치부향도
    KEJI ZHIFU XIANGDAO
    2011年 22期 53-53,55 ,共2页

    朱康福%李亭%房宏威

    주강복%리정%방굉위

    模式识别%遗传算法%故障诊断%滚动轴承 模式識彆%遺傳算法%故障診斷%滾動軸承
    모식식별%유전산법%고장진단%곤동축승
    Pattern recognition%Genetic programming%Fault diagnosis%Rolling bearing
    机械故障诊断是典型的模式识别问题，遗传编程能够较容易地构造大规模特征集；可以根据分类效果自动进行特征选择，从而获得优质的最佳特征。通过滚动轴承分类器的设计验证了算法的准确性。
    궤계고장진단시전형적모식식별문제，유전편정능구교용역지구조대규모특정집；가이근거분류효과자동진행특정선택，종이획득우질적최가특정。통과곤동축승분류기적설계험증료산법적준학성。
    Machinery fault diagnosis is a typical pattern recognition problem, Genetic programming is able to easily construct a large-scale feature set; automatically according to the classification results of feature selection, to obtain the best quality features. And classifier design by rolling verificates the effectiveness of the algorithm.
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