Investigation of Multi-Agent based online partial discharge monitoring system for generator

被引：0
|
作者：
Yao, Linpeng [1 ]
Huang, Chengjun [1 ]
Wang, Hui [1 ]
Liu, Junhua [1 ]
Qian, Yong [1 ]
Jiang, Xiuchen [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, 800 Dongchuan Rd, Shanghai 200030, Peoples R China
来源：
PROCEEDINGS OF THE 11TH WSEAS INTERNATIONAL CONFERENCE ON AUTOMATIC CONTROL, MODELLING AND SIMULATION: CONTROLLING, MODELLING AND SIMULATION | 2009年
关键词：
generator; partial discharge; Multi-Agent; Monitoring; artificial intelligence;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In the contribution, we applied the artificial intelligence to the partial discharge (PD) online diagnosis for generator, and a PD diagnosis multi-agent system was established. For problems exist in partial discharge evaluation, Such as preprocessing, features extraction, trend and fingerprint analysis, corresponding methods and schemes were described, and furthermore, the framework of the Multi-Agent system and detailed design of each agent were depicted.
引用
收藏
页码：35 / +
页数：3
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