摘要
人工智能技术的变电站内电力调度故障诊断系统,能有效弥补现有故障诊断方法在准确性、实时性和智能化方面的不足。通过采用深度学习、自然语言处理和大数据分析等先进技术,实现对变电站运行数据的实时监测、异常分析和智能诊断,以期为电力系统故障诊断领域的人工智能应用提供参考和借鉴。
The fault diagnosis system of power dispatching in substation based on artificial intelligence technology can effectively make up for the shortcomings of existing fault diagnosis methods in accuracy,real-time and intelligence.The aim is to realize real-time monitoring,anomaly analysis and intelligent diagnosis of substation operation data by using advanced technologies such as deep learning,natural language processing and big data analysis,in order to provide reference and reference for the application of artificial intelligence in the field of power system fault diagnosis.
作者
顾阿龙
李世博
Gu Along;Li Shibo(Yangzhou University,Yangzhou Jiangsu 225127,China)
出处
《现代工业经济和信息化》
2024年第6期112-114,共3页
Modern Industrial Economy and Informationization
关键词
人工智能技术
变电站
电力调度
故障诊断
artificial intelligence technology
substation
electric power dispatching
fault diagnosis