通信电源技术中风力发电的智能故障诊断与预警系统研究  

Research on Intelligent Fault Diagnosis and Early Warning System for Wind Power Generation in Communication Power Supply Technology

作　　者：刘青 LIU Qing(Guodian Investment Green Energy Co.,Ltd.,Beijing 100032,China)

机构地区：[1]国电投绿色能源有限公司,北京100032

出　　处：《通信电源技术》2024年第14期90-92,共3页Telecom Power Technology

摘　　要：为提升风力发电机组运行的安全性与稳定性,提出一种风力发电的智能故障诊断与预警系统设计方案。介绍该系统的总体框架结构,设计系统各大功能模块和智能故障诊断模型。通过模拟分析,验证该系统的应用效果。通过验证发现,该系统故障诊断准确率在95%以上,远高于传统通用专家诊断系统,具有大规模推广应用价值。In order to improve the safety and stability of wind turbine operation,a design scheme of intelligent fault diagnosis and early warning system for wind power generation is proposed.By introducing the overall framework of the system,the major functional modules and intelligent fault diagnosis model of the system are designed.Through simulation analysis,the application effect of the system is verified.Through verification,it is found that the fault diagnosis accuracy of this system is above 95%,which is much higher than that of the traditional general expert diagnosis system,and it has the value of large-scale popularization and application.

关 键 词：风力发电 智能故障诊断 故障预警 

分 类 号：TM614[电气工程—电力系统及自动化] TM76