基于多源感知的开关柜绝缘缺陷检测技术

doi:10.11930/j.issn.1004-9649.202009053

中国电力 ›› 2021, Vol. 54 ›› Issue (10): 117-124,133.DOI: 10.11930/j.issn.1004-9649.202009053

• 国家“十三五”智能电网重大专项专栏：（五）电力传感技术及应用专栏 • 上一篇下一篇

基于多源感知的开关柜绝缘缺陷检测技术

曹培¹, 徐鹏¹, 贺建明², 高凯¹, 田昊洋¹, 季怡萍¹

1. 国网上海市电力公司电力科学研究院，上海 200437;
2. 同济大学电子与信息工程学院，上海 201804

收稿日期:2020-09-07 修回日期:2021-08-27 出版日期:2021-10-05 发布日期:2021-10-16
作者简介:曹培(1987-),女,通信作者,硕士,工程师,从事输变电设备的检测与故障诊断研究,E-mail:caopei2009@163.com;徐鹏(1977-),男,硕士,高级工程师,从事输变电设备的检测与故障诊断研究,E-mail:xupeng1221@163.com;贺建明(1997-),男,硕士研究生,从事电气设备的检测与故障诊断研究,E-mail:2030676@tongji.edu.cn;高凯(1975-),男,博士,高级工程师,从事输变电设备的检测与故障诊断研究,E-mail:13818902772@163.com
基金资助:
国家自然科学基金资助项目(U1966210)；中央高校基本科研业务费专项(超材料雷达智能感知技术研究，22120190222)

A Intelligent Method for Insulation Defect Detection of Switchgear Based on Multi-source Sensing

CAO Pei¹, XU Peng¹, HE Jianming², GAO Kai¹, TIAN Haoyang¹, JI Yiping¹

1. State Grid Shanghai Electric Power Research Institute, Shanghai 200437, China;
2. College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China

Received:2020-09-07 Revised:2021-08-27 Online:2021-10-05 Published:2021-10-16
Supported by:
This work is supported by National Natural Science Foundation of China (No.U1966210) and the Fundamental Research Funds for the Central Universities (Research on Intelligent Sensing Technology of Meta-material Radar, No.22120190222)

摘要/Abstract

摘要： 绝缘故障在电气设备故障中占很大比例，在缺陷潜伏阶段将其检测并消除是防止故障发生的重要策略。绝缘缺陷通常伴随温升或局部放电现象，因此可将其作为判断设备绝缘状态的重要依据。红外光电传感器可检测设备的温度，紫外光电传感器可检测设备局放产生的紫外脉冲信号。以开关柜内电缆终端缺陷为例，构建了一个红外和紫外光电传感同步采集装置，基于自适应模糊神经网络，探索了一种融合了温升与局部放电2种信息源的智能检测手段。试验结果表明，相比于单传感器下的信息检测，基于多源感知的诊断算法，对设备缺陷诊断的准确性得到了显著提高。该检测技术为开关柜绝缘缺陷的识别和诊断提供了新的研究思路。

关键词: 光电传感器, 多源感知, 开关柜, 电缆终端, 缺陷检测

Abstract: Insulation fault accounts for a large proportion in electrical equipment faults, so it is an important strategy to detect and eliminate the faults in their latent phase. Insulation defects are usually accompanied by temperature rise or partial discharge, which can be used as an important basis for judging the insulation status of the equipment. The infrared photoelectric sensor can detect the temperature of the equipment, and the ultraviolet photoelectric sensor can detect the ultraviolet pulse signal generated by partial discharge of the equipment. In this paper, taking the cable terminal defects in the switch cabinet as an example, an infrared and ultraviolet photoelectric sensor synchronous acquisition device is constructed. Based on the adaptive fuzzy neural network, an intelligent detection method is proposed with combining two information sources of temperature rise and partial discharge. The experimental results show that compared to the information detection with single sensor, the diagnosis algorithm based on multi-source sensing significantly improves the accuracy of equipment defect diagnosis. The proposed method can provide a new research idea for identification and diagnosis of insulation defects of switchgear.

Key words: photoelectric sensor, multi-source sensing, switchgear, cable terminal, defect detection

曹培, 徐鹏, 贺建明, 高凯, 田昊洋, 季怡萍. 基于多源感知的开关柜绝缘缺陷检测技术[J]. 中国电力, 2021, 54(10): 117-124,133.

CAO Pei, XU Peng, HE Jianming, GAO Kai, TIAN Haoyang, JI Yiping. A Intelligent Method for Insulation Defect Detection of Switchgear Based on Multi-source Sensing[J]. Electric Power, 2021, 54(10): 117-124,133.

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基于多源感知的开关柜绝缘缺陷检测技术

A Intelligent Method for Insulation Defect Detection of Switchgear Based on Multi-source Sensing

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基于多源感知的开关柜绝缘缺陷检测技术

A Intelligent Method for Insulation Defect Detection of Switchgear Based on Multi-source Sensing

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