最大熵谱估计在旋转设备故障诊断中的应用研究

Application Research of Fault Diagnosis of Rotating Equipment Based on Maximum Entropy Spectrum Estimation

采用基于最大熵谱估计(MESE)的方法对机电设备故障诊断中的实时工程非平稳信号进行频谱估计,以期进一步提高其分析精度和准确性,并与传统的谱分析方法进行了对比。

In order to improve the analysis precision and accuracy of the real - time non - stationary signal in the fault diagnosis of electromechanical device, the maximum entropy spectrum estimation （MESE） method is used to estimate the spectrum of the non - stationary signal. The method is contrasted with the traditional spectrum analysis.