Remote Fault Diagnosis System for Power Transformer Insulation Based on RIA Model

被引：0

作者：

Liu, Mingjun ^{[1
]}

Wang, Peng ^{[1
]}

Zhou, Qiukuan ^{[1
]}

Kang, Chen ^{[1
]}

机构：

[1] State Grid Jiangxi Elect Power Res Inst, Equipment Status Assessment Ctr, Nanchang, Jiangxi, Peoples R China

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON HIGH VOLTAGE ENGINEERING AND APPLICATION (ICHVE) | 2016年

关键词：

power transformer; insulation; remote; condition monitoring; fault diagnosis; RIA model;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Currently, the transformer monitoring system has a single, centralized, geographical constraints and other weaknesses. Therefore, distributed remote insulation condition monitoring and fault diagnosis system based on Rich Internet Applications (RIA) model is proposed. Ultra high frequency (UHF) partial discharges (PD), core grounding current and other monitoring methods have been fused together. Relationship between discharge and insulation defects, location and typical causes are established. Discharge pattern recognition and insulation fault diagnosis method fusion pulse waveform and statistical operator are given. Remote on-line monitoring of insulation state and distributed multi-experts collaborative fault diagnosis is implemented.

引用

页数：4

共 6 条

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[2]

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