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《Bearing》 2011-07
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Application of Wavelet Transform in Fault Analysis of Rolling Bearings

YU Guang-wei,ZHENG Min,LEI Zi-heng,SONG Zhuo-yuan,ZHU Mao(School of Mechatronics Engineering & Automation,Shanghai University,Shanghai 200072,China)  
The fault diagnosis of rolling bearings is carried out by using discrete wavelet transform(DWT).The practical vibration speed signals measured from rolling bearings with faults are analyzed by the proposed methods,and the frequency spectrograms of fault signals are drawn respectively.The results show that the proposed methods are superior to the traditional methods in extracting the fault characteristics of inner ring and rolling element of rolling bearings.
【CateGory Index】: TH165.3
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