摘要
本文介绍了机器学习的发展过程,对机器学习的算法模型分类做了介绍,为电网信息运维工作中机器学习算法模型选择给出了建议,在电网信息设备动态阈值监控研究、基于机器学习技术的信息设备运行状态异常检测,电力一二次监控图像识别方面做了详细应用场景分析探索。
This article introduces the development process of machine learning,introduces the classification of machine learning algorithm models,and gives suggestions for the selection method of machine learning algorithm models in power grid information operation and maintenance work.Research on dynamic threshold monitoring of power grid information equipment,abnormal detection of information equipment operating status based on machine learning technology,and detailed application scenario analysis and exploration of power recognition image recognition for primary and secondary monitoring.
作者
王堃
张立中
苏婷
杨飞
Wang Kun;Zhang Lizhong;Su Ting;Yang Fei(State Grid Ningxia Electric Power Co.,Ltd.Information&Telecommunication Branch,Yinchuan Ningxia,753000;School of computer science and engineering,Central South University,Hunan Changsha,440083)
出处
《电子测试》
2021年第23期83-84,93,共3页
Electronic Test
关键词
信息系统运维
机器学习
异常检测
图像识别
Information System Operation and Maintenance
Machine learning
Anomaly Detection
Image Recognition