摘要
无刷励磁系统故障很可能导致严重的损失。文中利用系统辨识技术进行在线监测 ,以确定是否发生了故障 ;同时用频谱分析、数字滤波和小波包技术进行故障筛选 ,提取特征信号 ,从而可以基本判定故障的类型和大致部位 ,及时为运行人员提供信息。
The failure of brushless excitation system could cause a great loss, but for some reasons it is very difficult to distinguish it. This paper presents an integrated identification method to resolve this problem. Combining with the real production status, it uses system identification method to monitor online, applies the frequency spectrum analysis, digital filter and wavelet packet analysis to distinguish the kind of failure and to obtain the character information. So the type and the location of failure can be determined via comparing the information. The described method has been tested in a practical power system and some interesting results have been demonstrated.
出处
《电力系统自动化》
EI
CSCD
北大核心
2001年第24期26-29,67,共5页
Automation of Electric Power Systems
关键词
同步发电机
无刷励磁系统
故障诊断
综合测辨法
小波包分析
Brush conductors
Digital filters
Electric power systems
Failure analysis
Identification (control systems)
Spectrum analysis
