基于小波变换的振动信号分析中能量泄漏的研究

该文就小波分析中的能量泄漏的问题进行了深入研究，分析了能量泄漏的原因，讨论了滤波器性能和信号能量所在频段对能量泄漏的影响，指出了采样频率和采样点数也是影响能量泄露的重要因素，应仔细选择以避免感兴趣的信息落入频带边缘。仿真及在故障诊断中的应用证明选择合适的小波函数、采样频率和采样点数可以有效地抑制谱泄漏现象，与理论分析的结论一致。根据该文所提出的方法来提取汽轮机故障征兆可以得到更高精度的结果。

ENERGY LEAKAGE RESEARCH OF WAVELET TRANSFORM APPLICATION ON VIBRATION SIGNATURE ANALYSIS

In this paper, we discuss the problem of energy leakage in wavelet transform in depth. From the viewpoint of spectrum analysis, the cause of energy leakage is analyzed, the influence of two factors, which are the filter performance and the bandwidth of signal energy is discussed in details. The sampling frequency and the number of data points are important parameters and must be carefully selected to avoid the frequency of interest falling into the end regions. To select wavelet function, sampling frequency and the number of data points accurately can reduce energy leakage effectively. The simulation research and experiments are consistent with theoretical analysis. The analysis result shows that the method proposed in this paper is feasible, which can offer a more accurate feature extraction in vibration signature analysis.