摘要
阐述利用深度学习算法进行电力系统的故障监测,包括数据收集、预处理、模型训练、故障监测性能的评估指标运用.从故障模式识别、特征提取和分类技术、案例应用方面,介绍故障诊断的方法.
Abstract
This paper expounds the use of deep learning algorithms for fault monitoring in power systems,including data collection,preprocessing,model training,and the application of performance evaluation indicators for fault monitoring.Introduce the methods of fault diagnosis from the aspects of fault pattern recognition,feature extraction and classification technology,and case applications.
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