CAJ | 학술논문

传统风机用单一传感器进行故障的特征提取,不能有效地反映其状态.然而,矢谱技术融合了多通道信息,其反应的信息更全面,结合隐马尔可夫模型(HMM)能够对一个时间跨度上的信息进行统计建模和分类的特点,提出了一种新的诊断方法;并在Matlab 的环境下给出了诊断的实例,表明该方法可以有效地应用于风机的诊断中.
전통풍궤용단일전감기진행고장적특정제취,불능유효지반영기상태.연이,시보기술융합료다통도신식,기반응적신식경전면,결합은마이가부모형(HMM)능구대일개시간과도상적신식진행통계건모화분류적특점,제출료일충신적진단방법;병재Matlab 적배경하급출료진단적실례,표명해방법가이유효지응용우풍궤적진단중.
@@@@Traditional blower with single sensor for fault feature extraction can not show the state effectively. The vector spectrum can fuse the information from different channels and reflect more comprehensive information, and combined the characteristics of HMM on the statistical modeling and the classification to a time span of information, a blower fault diagnosis method is studied. An instance of fault diagnosis of blower is presented in Matlab environment, which indicates this method can be applicated effectively in blower fault diagnosis.