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《Journal of Vibration Engineering》 2009-04
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A hybrid analysis method of abnormal sound signal of rolling bearings

ZHANG Gen-yuan1,CHEN Fang-hua2 (1.School of Electronics and Information,Zhejiang University of Media and Communications,Hangzhou 310018,China;2.Hangzhou Bearing Test & Research Centre Co.Ltd,Hangzhou 310022,China)  
The detect and analysis method of acoustic fidelity of abnormal sound from the rolling bearings in household appliances is proposed.The character of abnormal sound is analyzed in frequency and time domain by wavelet transformation algorithm,which is based on wavelet pack algorithm without frequency band derangement and precisely indicates the character function of abnormal sound.Then the method to analyze and detect abnormal sound of rolling bearings based on K-L information with sub-frequency band is presented,which is used to analyze the abnormal sound by comparing normal one.The result of analysis is used to train RBF network and adjusts RBF network input parameters in order to improve the accuracy of analysis.The method can be used to detect the abnormal sound with pulse.The result of experiments shows that the approach is more accurate,valid and practicable in engineering than other methods in detecting the presence of the abnormal sound.It's a reliable and efficient hybrid method in analyzing the abnormal sound from rolling bearing.
【CateGory Index】: TH133.33
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