One Intelligent Sensor for Online Analysis of Oil-dissolved Gas in Transformer

TONG Ji-chun1; CHEN Wei-gen1; CHEN Rong-zhu2

您当前的位置：

首页 >

文章列表页 >

One Intelligent Sensor for Online Analysis of Oil-dissolved Gas in Transformer

更新时间：2025-04-26

- One Intelligent Sensor for Online Analysis of Oil-dissolved Gas in Transformer
- High VoltageApparatus Issue 6, Pages: 433-435+438(2004)
- 作者机构：
  
  1.   重庆大学
  2.   温州电业局重庆400044
  3.   浙江温州325000
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP212
- Published：2004
- 稿件说明：
移动端阅览
[1]佟继春,陈伟根,陈荣柱.一种在线分析变压器故障特征气体的智能传感器[J].高压电器,2004(06):433-435+438.

TONG Ji-chun1, CHEN Wei-gen1, CHEN Rong-zhu2. One Intelligent Sensor for Online Analysis of Oil-dissolved Gas in Transformer[J]. High voltageapparatus, 2004, (6): 433-435+438.
[1]佟继春,陈伟根,陈荣柱.一种在线分析变压器故障特征气体的智能传感器[J].高压电器,2004(06):433-435+438. DOI：

TONG Ji-chun1, CHEN Wei-gen1, CHEN Rong-zhu2. One Intelligent Sensor for Online Analysis of Oil-dissolved Gas in Transformer[J]. High voltageapparatus, 2004, (6): 433-435+438. DOI：

摘要

在线监测变压器油中溶解气体可有效地分析变压器绝缘状况

在线监测用气体传感器是实施该技术的关键。针对半导体气体传感器的交叉敏感特性

提出了将气体传感器阵列与人工神经网络技术相结合

利用6个半导体气体传感器组成传感器阵列

采用BP神经网络进行模式识别。大量的试验证明

所提出的智能传感器可有效地提高H2

CH4

C2H4

C2H2

C2H66种气体的分辨率和检测灵敏度。

Abstract

Online detection technology of transformer oil dissolved gas can be used to analyze insulation status of transformer effectively

and the gas sensor in online detection is crucial to this technology. Using the intersection sensitivity for semiconductor gas sensors

this paper presents a smart sensor integrating gas sensor array with artificial neural network technology. The author employs gas sensor array consisting of six semiconductor sensors and BP neural network to do pattern recognition. Lots of experiments prove that the smart sensor can improve resolution and sensitivity of online detection on six gases of H2

CH4

C2H4

C2H2 and C2H6 .

关键词

Keywords

references

Views

237

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Error Pattern Identification of On-line Monitoring Data of Transformer Based on Multi-classification SVM

Theoretical and Experimental Study on Damping Defect Measurement of Capacitive Core of Transformer’s Oil-impregnated-paper Condenser Bushing

Dynamic Early-warning Method Based on Dissolved Gas in Oil of 220 kV Transformer

Prediction Model for Dissolved Gas in Transformer Oil Based on Policy Gradient Optimization

Research on Hybrid Finite Element Method Based on Triangle Mesh and Its Application in Fluid-heat Coupled Calculation of Transformer

Related Author

WU Xutao

ZHANG Pei

SHA Weiyan

ZHOU Xiu

DING Pei

HE Ninghui

YANG Qingzhu

CHENG Yangchun

Related Institution

State Grid Ningxia EPRI

Beijing Key Laboratory of High Voltage and EMC, North China Electric Power University

Guangdong Power Grid Corporation

Electric Power Research Institute of Guangdong Power Grid Corporation

Fujian Hoshing Hi-Tech Industrial Co.,Ltd.

⁰