基于小波包分析的转子振动信号故障特征提取研究

Research on Fault Feature Extraction of Rotor Vibration Signals Based on Wavelet Packet Analysis

摘要:

针对处理转子振动故障时,FFT等传统方法不能很好地分析同一频率下不同类型故障并发的复杂信号的情况,提出采用小波包分析的方法并分离故障特征向量。通过对比FFT与小波包分析方法,可以明显看出小波包分析的先进性和有效性。

Abstract:

For dealing with the failure of the rotor vibration,FFT and other traditional methods of analysis are not well analyzed under the same frequency of different types of signal failure complicated by the complexity of the situation,the method of wavelet packed analysis was proposed and fault feature vectors were separated. By comparing the FFT and wavelet packet analysis method, the advantage and effectiveness of wavelet packet analysis were clear.