When compared with the typical perceptual entropy detecting on frequency domain, it has some advantages, such as higher time resolution, more accuracy and simple algorithm.
与当前典型的基于感觉熵的频域瞬态检测方法相比,具有时间分辨率高、准确和算法简单等优点。
In the view of feature signal extraction, the local wave time-frequency analysis and information entropy were used to deal with fault diagnosis.
从特征信号提取的角度出发,采用局域波时频分析和信息熵结合的方法进行往复式压缩机故障诊断。
The L F signals are transformed by entropy based on wavelet packet algorithms for best basis selection, and the results are displayed in time- frequency space namely phase plane.
该方法采用基于熵的小波包最佳基选取准则,对局部损伤信号进行自适应小波包分解,将分解结果显示于时—频空间即相平面上。
应用推荐