文件名称:433
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融合小波能谱熵和支持向量机ＳＶＭ的特点提出了基于小波能谱熵的ＳＶＭ故障诊断方法．
利用转子试验台对转子典型振动故障进行模拟并采集振动数据提取其振动信号的小波能谱熵作为特征向
量-Fusion wavelet energy entropy and support vector machine SVM is proposed based on the characteristics of wavelet energy entropy SVM fault diagnosis method. Use typical rotor test rig rotor vibration fault simulation and collect vibration data vibration signal extracted wavelet energy entropy as a feature vector
利用转子试验台对转子典型振动故障进行模拟并采集振动数据提取其振动信号的小波能谱熵作为特征向
量-Fusion wavelet energy entropy and support vector machine SVM is proposed based on the characteristics of wavelet energy entropy SVM fault diagnosis method. Use typical rotor test rig rotor vibration fault simulation and collect vibration data vibration signal extracted wavelet energy entropy as a feature vector
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433.pdf