高压交联电缆线路承担的高电压、大容量电力输送任务存在复杂性。针对线路振荡波局部放电检测准确度较差，难以进行缺陷定位的问题，提出基于长短期记忆（LSTM）网络算法的高压交联电缆线路振荡波局部放电检测方法。应用振荡波电压法搭建高压交联电缆线路振荡波局部放电检测框架。基于小波包分解算法，提取典型局部放电信号特征，通过LSTM网络算法识别与检测振荡波局部放电信号，消除局部放电信号中的噪声。根据原始振荡波与反射振荡波到达测试端的时间差，结合振荡波传播速度，确定高压交联电缆线路缺陷位置，实现电缆线路振荡波的局部放电检测。试验结果表明，所提方法的局部放电信号识别准确度更高，电缆线路缺陷定位更精准，实际应用性能较佳。

The tasks of high voltage and large capacity power transmission undertaken by high voltage cross-linked cable line are complex. Aiming at the problems that the detection accuracy of line oscillating wave partial discharge is poor and it is difficult to locate defects, a high voltage cross-linked cable line oscillating wave partial discharge detection method based on long short-term memory (LSTM) network algorithm is proposed. The oscillating wave voltage method is applied to establish the framework of oscillating wave partial discharge detection of high voltage cross-linked cable line. Based on the wavelet packet decomposition algorithm, the characteristics of typical partial discharge signals are extracted. The oscillating wave partial discharge signals are identified and detected by LSTM network algorithm to eliminate the noise in the partial discharge signals. According to the time difference between the original oscillating wave and the reflected oscillating wave reaching the test end, combined with the propagation speed of oscillating wave, the defect location of high voltage cross-linked cable line is determined, and the partial discharge detection of cable line oscillating wave is realized. The test results show that the partial discharge signal recognition accuracy obtained by the proposed method is higher, and the cable line defect location is more accurate, and the practical application performance is better.