机械研究与应用
機械研究與應用
궤계연구여응용
MECHANICAL RESEARCH & APPLICATION
2013年
6期
43-45,52
,共4页
特征频率%FCM%条件熵%属性约简%最大隶属规则
特徵頻率%FCM%條件熵%屬性約簡%最大隸屬規則
특정빈솔%FCM%조건적%속성약간%최대대속규칙
characteristic frequency%FCM%conditional entropy%attribute reduction%maximum membership principle
矿井风机是矿下作业的重要机械之一,针对矿井风机振动故障诊断中故障征兆的使用问题,基于FCM聚类分析和条件熵相结合的方法提出了一种新的属性约简方法,首先按照特征频率实现对风机故障的聚类,接着结合最大隶属原则和条件熵完成对属性的约简并最终为专家系统提供有效的诊断规则库,从而能更好的实现故障的诊断。
礦井風機是礦下作業的重要機械之一,針對礦井風機振動故障診斷中故障徵兆的使用問題,基于FCM聚類分析和條件熵相結閤的方法提齣瞭一種新的屬性約簡方法,首先按照特徵頻率實現對風機故障的聚類,接著結閤最大隸屬原則和條件熵完成對屬性的約簡併最終為專傢繫統提供有效的診斷規則庫,從而能更好的實現故障的診斷。
광정풍궤시광하작업적중요궤계지일,침대광정풍궤진동고장진단중고장정조적사용문제,기우FCM취류분석화조건적상결합적방법제출료일충신적속성약간방법,수선안조특정빈솔실현대풍궤고장적취류,접착결합최대대속원칙화조건적완성대속성적약간병최종위전가계통제공유효적진단규칙고,종이능경호적실현고장적진단。
Mine ventilator is one of the important mechanical device in the underground work, A method based on FCM and conditional entropy is proposed to realize attribute reduction.It can provide an effective diagnosis expert system rule base, ac-cording to characteristic frequency the clustering of the fan is realized, and then combining with the maximum membership principle and conditional entropy , the attribution reduction is complished , and the valid diagnosis rule base is provided , which can better realize fault diagnosis.