智能技术在新能源发电设备故障诊断与健康管理系统中的应用  

Application of Intelligent Technology in Fault Diagnosis and Health Management System of New Energy Power Generation Equipment

作　　者：田纪龙 TIAN Jilong(Shanxi Yuedian Energy Co.,Ltd.,Shanxi 030021,China.)

机构地区：[1]山西粤电能源有限公司,山西030021

出　　处：《电子技术(上海)》2025年第1期294-295,共2页Electronic Technology

摘　　要：阐述人工智能技术在风电、光伏等新能源发电设备故障诊断和健康管理中的创新应用。通过分析设备故障的种类与成因,提出人工智能在数据采集、处理、故障预测及健康状态评估等方面的实现方法,以提升设备运行效率与可靠性。This paper describes the innovative application of artificial intelligence technology in fault diagnosis and health management of new energy generation equipment such as wind power and photovoltaics.It analyzes the types and causes of equipment failures and proposes implementation methods of artificial intelligence in data collection,processing,fault prediction,and health status assessment to improve equipment operation efficiency and reliability.

关 键 词：人工智能 新能源发电 故障诊断 健康管理 机器学习 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置] TP18[自动化与计算机技术—控制科学与工程] TM73[电气工程—电力系统及自动化]