Adaptive redundant lifting wavelet denoising analysis and its application in bearing fault identification

作者：Yang Zi Jing^*; Cai Li Gang; Gao Li Xin

来源：Journal of Vibration and Shock, 2013, 32(7): 54-57.

• Adaptive
• De-noising
• Fault identifications
• ITS applications
• Lifting wavelet
• Mechanical equipment
• Threshold de-noising algorithms
• Wavelet coefficients

Here, an adaptive redundant lifting wavelet denoising method was proposed to realize effective identification of weak fault information of roller bearings in mechanical equipments. According to the different features contained in scale coefficients to be decomposed, wavelets matching optimally these features were adaptively selected based on the norm criteria. Meanwhile, a multi-hole algorithm was introduced here to guarantee sufficient information in each scale coefficient and wavelet coefficient after every decomposition. Then, the variable scale threshold denoising algorithm was applied to process each wavelet coefficient, the reconstruction and envelope spectral analysis of these coefficients were performed to extract fault features of roller bearings. Analysis results with the method presented above for compound fault signals of a bearing test table and field practical signals showed that bearing fault identification can be well realized and the proposed method is effective.

• 出版日期2013
• 单位北京大学