节点文献
无刷同步发电机旋转整流器故障监测的人工智能诊断
Diagnosis of Neural Network for Monitoring Rotating Rectifier Faults Generators with Brushless Excitation
【摘要】 针对无刷同步发电机旋转整流器故障类型,采用人工智能模式识别技术准确识别故障,有效提高对同步发电机的故障监测水平。图3表3参4
【Abstract】 In order to improve stability of the synchronous generator in power system, based on 360kw synchronous generator , presents a new on line diagnosis method for monitoring rotating rectifiers, which by means of analog digital commutator(ADC) and neural network . And the more accurate mathematical model is approached actively. Aiming at the kind of the faults, the method uses neural network to improve the monitoring ability to synchronous generator effectively.
【关键词】 同步发电机;
整流器故障;
人工智能;
故障诊断;
【Key words】 Brushless synchronous generator; ADC; Rotating rectifier; Neural network; Model recognition;
【Key words】 Brushless synchronous generator; ADC; Rotating rectifier; Neural network; Model recognition;
- 【文献出处】 东方电气评论 ,Dongfang Electric Review , 编辑部邮箱 ,2003年02期
- 【分类号】TM46
- 【被引频次】6
- 【下载频次】137