CAJ | 학술논문

提出了一种基于小波域阈值降噪和改进Hilbert-Huang变换的滚动轴承的振动信号分析方法。利用小波域阈值消噪的方法对振动信号进行降噪，采用基于包络极值延拓和相关系数法的HHT方法得到信号的Hilbert谱和Hilbert边际谱，根据谱图幅值特性判断轴承的状态。该方法能够有效地提取信号特征，具有良好的诊断效果。
제출료일충기우소파역역치강조화개진Hilbert-Huang변환적곤동축승적진동신호분석방법。이용소파역역치소조적방법대진동신호진행강조，채용기우포락겁치연탁화상관계수법적HHT방법득도신호적Hilbert보화Hilbert변제보，근거보도폭치특성판단축승적상태。해방법능구유효지제취신호특정，구유량호적진단효과。
A vibration signal analysis method for rolling bearing fault diagnosis based on wavelet threshold de-noising and improved HHT is presented. Wavelet threshold de-noising method is used to reduce noise. The improved HHT, which is based on extreme continuation method and correlation coefficient, is applied to the de-noised signal to obtain the Hilbert spectrum and Hilbert marginal spectrum, then the fault type can be judged according to the spectrums. The correctness and effectiveness of the method is proved by simulation and analyzing the measured signal.