摘要
采用新的监测手段对发电机定子绝缘典型局部放电故障进行了实验研究 ,对于不同类形的局部放电 ,得到了具有明显特征的 n- m V两维放电谱图 ,同时验证了该测量系统抗干扰的有效性。据此证明了采用该大型发电机故障在线监测以及人工智能诊断的可行性。
The typical partial discharge in stator windings insulation of generators has been experimental studied by a new detecting method in this paper. According to the experimental results, the n\|mV feature figures are apparently different corresponding to the different partial discharge types, and it was also proved the new detecting method can work perfectly even though there are noise from the outside of generators. The results reveal that the new detecting method is suitable for online monitoring of insulation faulty in generators, and it is possible to distinguish the partial discharge types using artificial intelligence.
出处
《现代电力》
2001年第1期15-19,共5页
Modern Electric Power
基金
部级重大科技项目的所含内容
关键词
定子
绝缘
局部放电
故障监测
大型发电机
generators
stator winding
insulation
partial discharge
fault checking
