一种新的小波包算法在机械故障诊断中的应用

The Application of A New Wavelet Packet Algorithm in Machine Condition Monitoring

小波变换由于其良好的时频特性,已广泛用于旋转机械、往复机械、齿轮、轴承等的状态监测和故障诊断中。它能将信号中不同的频率成分分解到互不重叠的频带上,为信号的信噪分离提供了有效途径。在此基础上,我们又引入了小波包分析,它能够为信号提供一种更加精细的分析方法,它能将频带进行多层次划分,对小波分析没有细分的高频部分进一步分解。本文提出了一种新的小波包算法,应用于工程中信号的噪声消除。

Wavelet transform because of its good time-frequency characteristics, has been , and fault diagnosis of rotating machinery, reciprocating machinery, gear, bearing. It will signal into ram- overlapping frequency bands, provides an effective approach for the separation of signal and introduce the wavelet packet analysis, it can provide a finer analysis approach for signal, it can be band chtssily multi-level wavelet high frequency part has not subdivided further decomposition. This paper proposes a new wavelet packet .