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机构地区:[1]华侨大学机电及自动化学院,福建泉州362021
出 处:《华侨大学学报(自然科学版)》2011年第4期368-372,共5页Journal of Huaqiao University(Natural Science)
基 金:国家自然科学基金资助项目(50975098)
摘 要:利用关联维数分析方法对超声波电机进行故障诊断,并针对故障诊断的实际情况,建构特殊实验平台采集故障振动信号.通过互信息法及Cao方法来确定相空间重构的2个重要参数,然后计算超声波电机在不同故障状态下的关联维数.结果表明,不同故障状态产生机制不同,其关联维数也不同,关联维数可用于故障的特征提取.通过分析不同状态下超声波电机的关联维数,可以判断超声波电机是否出现故障.The analysis method of correlation dimension is used in the fault diagnosis of ultrasonic motor,and a special experiment platform is built to collect fault vibration signal according to the actual conditions in fault diagnosis.The correlation dimensions of the different fault of ultrasonic motor were calculated through two important parameters of reconstruction of the phase space which were determined by the mutual information and Cao method.The results show that the mechanism of different faults for ultrasonic motor are related with their different correlation dimensions,so the correlation dimension can be used to extract the feature of the faults.By the analysis of the correlation dimension of different fault vibration signals,it can be judged whether there is a fault for ultrasonic motor or not.
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