Defects Diagnosis of Bearing by Means of Acoustic Emission and Continuous Wavelet Transform
(0) The acoustic emission signals of rolling bearing with different type of defects are de-noised and illustrated by the continuous wavelet transform and scalogram.Morlet wavelet function is selected and the wavelet parameters are optimized based on the principle of minimal wavelet entropy.The soft-threshold de-noising is used to filter the wavelet transform coefficients.The de-noised signals obtained by reconstructing the wavelet coefficients show the obvious impulsive features.Based on the optimized waveform parameters,the wavelet scalogram is used to analyze the real AE signal from the defective rolling bearing in experimental test rig.The results indicate that the proposed method is useful and efficient for signal purification and features extraction.
acoustic emission continuous wavelet transform signal purification defect diagnosis
Rujiang Hao Zhipeng Feng Fulei Chu
Department of Mechanical Engineering,Shijiazhuang Railway Institute,Shijiazhuang 050043,China Institute of Vehicular Engineering,University of Science and Technology Beijing,Beijing,100083,China Department of Precision Instruments and Mechanology,Tsinghua University,Beijing 100084,China
国际会议
The 8th International Conference on Damage Assessment of Structures(DAMAS 2009)(第八届结构损伤评价国际学术会议)
北京
英文
651-657
2009-08-03（万方平台首次上网日期，不代表论文的发表时间）