小波改进算法在泵转子故障识别中的应用

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Application Study on Improved Wavelet Analysis Algorithm for Pump Rotor Fault Diagnosis

1. Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, 610041, China;
2. College of Nuclear Science and Technology, Harbin, Harbin Engineering University, 150001, China

摘要: 小波变换对转动机械振动信号的识别具有特有的效果。但小波包变换在工程应用中,存在频率混淆、幅值失真等缺陷,采用频率补偿算法,并选取了泵转子的动不平衡、弯+动不平衡等典型故障试验数据,通过分析,验证频率补偿算法能够提取振动信号的更多细节,可以识别出故障的特征频谱,能够有效地解决频率混淆、幅值失真等问题,为小波分析的工程应用奠定了一定基础。
- 小波改进算法 /
- 泵转子 /
- 频率补偿
Abstract: Wavelet Analysis is a new signal analysis theory, but in the way of the engineering application,the wavelet analysis has the problems such as frequency confusion and amplitude frequency offset distortion.This study makes the use of the frequency compensation, an improved algorithm of wavelet packet, and selects the test data of pump rotor typical faults, i.e., dynamic unbalance, rotor bow and dynamic unbalance. It has been proved that the measure of frequency compensation can recognize the fault of pump rotor effectively.This study shows that the improved algorithm can effectively solve the problems such as amplitude frequency,and confuse and distortion offset. This study established a certain foundation for application of wavelet analysis.
- Wavelet transform /
- Pump rotor /
- Frequency compensation