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《Journal of Vibration and Shock》 2007-01
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Liu Jinzhao~1,Ding Xiawan~2,Wang Chengguo~1(1.Center of Research and Development,China Academy of Railway Science,Beijing 1000812.School of Mathematics and Computer Science,the Central University for Nationalities,Beijing 100081)  
Resonance demodulation method,other than AR model method,wavelet transform method and so on,is adopted by engineers to diagnose faults of rolling bearings of a freight car.But its effectiveness depends to a great extent on how to choose the center frequency and the bandwidth of its filter.The difficulty to choose the band-pass filter can be avoid by the adaptive resonance demodulation method presented here.The key point of the method is to separate high-frequency resonance signals caused by impulse and the low-frequency ones with high energy.The authors firstly do time-frequency transform on the time signal and then automatically extract the time-energy signal from the time-frequency spectrum without filtering.In addition,a uniform frame is proposed to extract the time-energy signal which is similar to time edge from the time-frequency spectrum,which is also called L~p norm criterion.The numerical results show that the adaptive resonance demodulation performs effectively in fault diagnosis of freight car rolling bearings with outer-race faults,inner-race ones and rolling element ones and it performs more effectively than conventional demodulated resonance techniques.
【Fund】: 铁道科学研究院基金项目(2004YF5)资助
【CateGory Index】: TH133.33
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