双自适应小波局部极大模方法及其在信号特征提取中的应用  

Double adaptive wavelet partial maximum modulus method and its application in feature extraction of impulse signals

作　　者：于明月[1] 陈果[1] 

机构地区：[1]南京航空航天大学民航学院,南京210016

出　　处：《振动与冲击》2013年第1期53-59,82,共8页Journal of Vibration and Shock

基　　金：国家自然科学基金资助项目(61179057);国家安全重大基础研究项目(613139)

摘　　要：将小波分析中的局部极大模方法采用双自适应提升算法进行改进,用于机械故障冲击信号特征的提取,获取了信号时域和频域冲击特征。将该方法应用于滚动轴承微弱冲击特征的提取,并将原始信号直接进行包络分析、原始信号极大模包络分析、经典小波分析方法、第二代小波的细节信号方法进行了对比。结果表明,双自适应局部极大模方法可以更有效的提取信号中的冲击特征,对小波分解层数极不敏感,表现出了很好的鲁棒性。新方法为进一步实施冲击型故障的诊断工作提供新的思路。The classic wavelet partial maximum modulus method was improved with a double adaptive lifting scheme. This method was used to extract features of impact signals in mechanical fault diagnosis and obtain impact features of signals in time domain and frequency one. The new method was used to extract rolling bearing weak impact features. After the original signal was analyzed with the envelope analysis method, and several classic wavelet analysis ones, respectively, the results were compared. It was shown that the double adaptive wavelet partial maximum modulus method is more effective for extracting features of impact signals and more insensitive to deeompositing levels than the classic wavelet methods be. The new method provided a new idea for impact type fault diagnosis.

关 键 词：双自适应 提升算法 极大模 冲击信号 滚动轴承 特征提取 

分 类 号：TB123[理学—工程力学]