ass日本风韵熟妇pics男人扒开女人屁屁桶到爽|扒开胸露出奶头亲吻视频|邻居少妇的诱惑|人人妻在线播放|日日摸夜夜摸狠狠摸婷婷|制服 丝袜 人妻|激情熟妇中文字幕|看黄色欧美特一级|日本av人妻系列|高潮对白av,丰满岳妇乱熟妇之荡,日本丰满熟妇乱又伦,日韩欧美一区二区三区在线

Fault feature was always hidden by strong noise background in rolling element bearing fault signal. Based on morphological undecimated wavelet decomposition (MUWD), a novel approach was proposed to extract rolling element bearing fault feature. MUWD possess both the characteristic of morphological filter in morphology and multiresolution in wavelet transform. Signal length was maintained invariable and information loss could be avoided in MUWD. Multi-scale MUWD was developedbased on the characteristic of impulse feature extraction in difference morphological filter. The method was used to extract impulse feature in bearing fault signal. Experiment results showed that the presented method can achieve a better performance than traditional wavelet packet. MUWD algorithm includes addition, subtraction, maximum and minimum operations, and does not involve multiplication and division. It is suitable for on-line monitoring and fault diagnosis of bearing.