基于改进动态时间规整算法的终端波形比对方法

为深入挖掘配电终端录波性能分析，提出了一种用于一二次深度融合设备检测终端录波平台的改进型动态时间规整算法。通过分帧及加窗完成对波形的预处理，计算源信号波形与受噪声干扰的终端录波波形的短时能熵比；将两组波形的短时能熵比序列作为输入测试向量，利用DTW对两个波形的能熵比序列进行路径规划并求解相似度；计算两组短时能熵比序列的公共子串长度定义优化匹配系数，修正波形相似度。实验仿真和实测数据分析结果表明，结合能熵比与公共子串的DTW算法提升了算法的计算效率和准确率。实验证明该方法能为配电终端的录波性能评估提供数据支撑。

Method based on optimized dynamic time warping algorithm for waveform comparison in terminal

Aiming at deeply exploring the analysis of the recording performance of the distribution terminal, this paper proposes an improved dynamic time warping algorithm for detecting the terminal recording platform of the primary and secondary deep fusion equipment. Complete the waveform preprocessing by framing and windowing, and calculate the short term energy entropy ratio of the source signal waveform and the terminal recorded waveform affected by noise interference; The short-time energy entropy ratio sequences of the two waveforms were used as the input test vector, and the path planning and similarity calculation are carried out by using DTW for the two waveforms. And by computing two groups of short-time energy entropy than public substring sequence length defined optimization matching waveform similarity coefficient of correction. Experimental simulation and measured data analysis results show that the DTW algorithm combining energy-entropy ratio and common substring can accurately improve the computational efficiency and accuracy of the algorithm. Experimental results show that this method are conducive for the evaluation of recording performance of power distribution terminals.