小波包算法在柴油机振声征兆提纯中的应用  

Wavelet Packets Algorithm in Diesel Engines' Vibro-Acoustic Signatures Extraction

作　　者：邹剑[1] 陈进[1] 耿遵敏[1] 

机构地区：[1]上海交通大学振动,冲击,噪声国家重点实验室,上海200030

出　　处：《上海交通大学学报》2002年第2期217-221,共5页Journal of Shanghai Jiaotong University

基　　金：国家自然科学基金资助项目 ( 5 9775 0 2 410 176 0 14 ) ;振动;冲击;噪声国家重点实验室开放基金资助项目( VSN-2 0 0 2 -3

摘　　要：将小波包技术引入柴油机振声征兆提纯的应用研究中 ,分析了小波包分解得到的 Paley列存在的频率混叠现象的原因 ,给出了相应的小波包移频算法 .该算法可以极大地抑制信号中的噪声、提高信噪比、有效地提取出信号的特征参数 .对 1 90系列柴油机的实验研究表明 :该算法在柴油机等往复机械振声征兆提纯及其动态诊断中具有工程有效性和实用性 .The wavelet packets technique was introduced in to the application research on diesel engines' vibro-acoustic signatures extraction. The reason of the existence of frequency-aliasing in the Paley series from wavelet packets' decomposition was analyzed, and the wavelet packets frequency-shifting algorithm was given. The algorithm can reduce the noise significantly, heighten the signal-to-noise ratio and can effectively extract the desired parameter. The experiments on 190 serial diesel engines verify that the wavelet packets frequency-shifting algorithm is applicable and available in reciprocating machines' vibro-acoustic signatures extraction and vibration diagnosis.

关 键 词：小波包算法 柴油机 振声征兆 提纯 

分 类 号：TK437[动力工程及工程热物理—动力机械及工程] TH17[机械工程—机械制造及自动化]