基于排列熵的电磁声发射信号到达时间识别

The arrival time identification of acoustic emission signal based on permutation entropy

排列熵算法简单高效,能够反映出信号的微小变化,是一种有效的信号突变检测工具。通过引入信号包络排列熵分析方法,对声发射信号到达时间识别问题进行求解。排列熵对信号幅值的大小不敏感,但对信号幅值的变化敏感,通过记录信号包络排列熵的变化,根据包络排列熵第一个极小值时刻来识别信号到达时间。根据裂纹电磁声发射实测信号识别结果可知,包络排列熵方法对声发射信号到达时间具有较高的识别精度。

The permutation entropy algorithm can be computed simply, and distinguish tiny change of time series signal, it is a powerful tool in detecting sudden changes of signal. The problem of arrival time identification of acoustic emission signal is solved by the method of envelope permutation entropy. Permutation entropy is sensitive to variation of signal amplitude not to signal amplitude, according to minimum value of signal envelope permutation, the arrival time is identified. The identification results of electromagnetic acoustic emission signal show that the method of envelope permutation entropy has high accuracy on arrival time identification of acoustic emission signal.