基于人工智能的电力设备异常声音检测方法研究

Research on Abnormal Sound Detection Method for Power Equipment Based on Artificial Intelligence

为研究基于人工智能的电力设备异常声音检测方法,通过声音信号预处理、机器学习模型构建、实时监测与反馈等关键技术,实现电力设备异常声音的自动检测和识别。实验结果表明,该方法在主变压器和高压断路器的异常声音检测任务上取得了良好的应用效果。

In order to study the abnormal sound detection method of electric power equipment based on artificial intelligence,the key technologies such as sound signal pre-processing,machine learning model building,real-time monitoring and feedback are used to realize the automatic detection and recognition of abnormal sound of electric power equipment.The experimental results show that the proposed method is effective in detecting abnormal sound of main transformer and high voltage circuit breaker.