论文部分内容阅读
小波变换是目前学术界和工程界的热点理论及应用研究课题。将它应用于往复泵的故障诊断中，可将往复泵液力端与动力端的故障特征同时分割在5个不同尺度的小流变换结果之上。依据这些尺度上小波变换结果的变化，就有可能同时对三缸往复泵各部分的运行状态有一个全面的了解。研究发现，尺度1反映了原始信号中的高频信息，在原始信号的采样频率大于7680Hz时，由尺度1上的小波变换结果的变化可分析三缸往复泵动力端滚动轴承的运行状态；而在一般采样频率大于2560Hz时，尺度5的小波变换结果则能反映三缸往复泵液力端的运行状态；而尺度3上的小波变换结果可分析三缸往复泵动力端齿轮的运行状态。
Wavelet transform is the current hot topics in academia and engineering and applied research topics. Applying it to the fault diagnosis of reciprocating pump, the fault characteristics of reciprocating pump hydraulic end and power end can be divided at the same time in five different scales of small flow transformation. Based on the changes of the wavelet transform results at these scales, it is possible to have a comprehensive understanding of the operating states of the various parts of the three-cylinder reciprocating pump at the same time. The results show that the scale 1 reflects the high frequency information of the original signal. When the sampling frequency of the original signal is more than 7680Hz, the running state of the rolling bearing on the power end of the three-cylinder reciprocating pump can be analyzed by the change of wavelet transform results on scale 1. In the case of When the general sampling frequency is more than 2560Hz, the wavelet transform result of scale 5 can reflect the operating state of the hydraulic end of the three-cylinder reciprocating pump. The wavelet transform result of scale 3 can analyze the running state of the power end gear of the three-cylinder reciprocating pump.