CAJ | 학술논문

经典的灰熵关联法进行故障诊断时需要预先根据经验或统计方法设定一个参考的标准序列，缺乏客观性，准确度不高，为此，引入一种改进的模糊C-均值聚类方法计算得到参考标准序列，然后应用灰熵关联方法进行故障诊断，最后在某型装备故障诊断中应用并验证了该方法的有效性。
경전적회적관련법진행고장진단시수요예선근거경험혹통계방법설정일개삼고적표준서렬，결핍객관성，준학도불고，위차，인입일충개진적모호C-균치취류방법계산득도삼고표준서렬，연후응용회적관련방법진행고장진단，최후재모형장비고장진단중응용병험증료해방법적유효성。
The reference standard sequence must be given ahead according to the experience or statistics method in the classical grey entropy relation for fault diagnosis,which is often lack of objectivity and high accuracy degree. In this paper,an advanced fuzzy C-mean cluster method is introduced to get the reference standard sequence, then the grey entropy relation method is applied to perform fault diagnosis. Application of this method in fault diagnosis of an equipment verifies its validity.