Investigation of Multi-Agent Based Online Partial Discharge Monitoring System for Generator

QIAN Yong; HUANG Cheng-jun; HUANG Fang-neng; CHEN chen; JIANG Xiu-chen

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Investigation of Multi-Agent Based Online Partial Discharge Monitoring System for Generator

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- Investigation of Multi-Agent Based Online Partial Discharge Monitoring System for Generator
- High VoltageApparatus Issue 1, Pages: 11-14+19(2008)
- 作者机构：
  
  1. 上海交通大学电气工程系
  2. 上海交通大学电气工程系上海200240
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM835
- Published：2008
- 稿件说明：
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[1]钱勇,黄成军,黄方能,陈陈,江秀臣.发电机局部放电在线监测Multi-Agent系统研究[J].高压电器,2008(01):11-14+19.

QIAN Yong, HUANG Cheng-jun, HUANG Fang-neng, et al. Investigation of Multi-Agent Based Online Partial Discharge Monitoring System for Generator[J]. High voltageapparatus, 2008, (1): 11-14+19.
[1]钱勇,黄成军,黄方能,陈陈,江秀臣.发电机局部放电在线监测Multi-Agent系统研究[J].高压电器,2008(01):11-14+19. DOI：

QIAN Yong, HUANG Cheng-jun, HUANG Fang-neng, et al. Investigation of Multi-Agent Based Online Partial Discharge Monitoring System for Generator[J]. High voltageapparatus, 2008, (1): 11-14+19. DOI：

摘要

为了解决局放信号自身和监测系统框架方面的诸多问题

笔者将分布式人工智能技术应用于发电机局部放电在线监测

构建了一个局部放电在线监测Multi-Agent系统。针对局放数据评估中的预处理、特征提取、趋势和指纹分析

本文分别给出了相应的处理方法及流程

基于此

给出了构建整个系统的框架及单个Agent的设计细节。分析表明

所设计的Multi-Agent系统相比其他局放在线监测系统有诸多优点。

Abstract

In order to solve the problems concerning the partial discharge and the framework of monitoring system

artificial intelligence was applied to the partial discharge online monitoring for generator

and a Multi-Agent based online PD monitoring system was thus established.For the issues existing 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 based system and detailed design of each Agent were depicted.Compared to other PD monitoring systems

the present Multi-Agent based online PD monitoring system gains many advantages.

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Related Institution

State key Laboratory of Electrical Insulation for Power Equipment, Xi’an Jiaotong University

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清华大学北京 100084

深圳市福田保税区

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