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GIS设备机械缺陷振动信号特征分析技术研究

蒋西平 李永福 龙英凯 王旭鹏 汪泽州

高压电器2025,Vol.61Issue(2):17-25,34,10.
高压电器2025,Vol.61Issue(2):17-25,34,10.DOI:10.13296/j.1001-1609.hva.2025.02.003

GIS设备机械缺陷振动信号特征分析技术研究

Research on Characteristics Analysis Technology of Vibration Signal of Mechanical Defects in GIS Equipment

蒋西平 1李永福 1龙英凯 1王旭鹏 2汪泽州3

作者信息

  • 1. 国网重庆市电力公司电力科学研究院,重庆 401123
  • 2. 重庆大学输配电装备及系统安全与新技术国家重点实验室,重庆 400044
  • 3. 国网浙江省电力有限公司海盐县供电公司,浙江 嘉兴 314300
  • 折叠

摘要

Abstract

The detection of mechanical vibration defects is one of the effective means to ensure safe operation of GIS equipment.However,there is still lack of systematic research on the vibration of mechanical defects for various com-ponents of GIS equipment.In this paper,one highly sensitive detection device for the vibration state of GIS equip-ment is developed,a high-voltage and high-current test platform for mechanical defects of GIS equipment,which simulates 5 kinds of typical defects,is set up,and study on the vibration signal characteristics test of GIS equipment is performed.The test results show that in case the load current remains unchanged,the vibration signal hardly changes with the variation of voltage.Under the action of same voltage,the vibration signal waveform remains basi-cally unchanged,and the amplitude of the vibration signal increases with the increase of the load current.While,in the case of mechanical defects,the main frequency spectrum of the vibration signal is 100 Hz,with more high fre-quency components superimposed,and vibration signals of different defects show different frequency and amplitude characteristics.The frequency band energy characteristic analysis method based on Fourier analysis is adopted to construct vibration feature fingerprint database for typical defects.The results in this paper can be used for mechani-cal defect detection and type identification of GIS equipment as well as the guidance of maintenance work on site.

关键词

GIS设备/机械缺陷/振动特性/频带能量/特征信息库

Key words

GIS equipment/mechanical defects/vibration characteristics/band energy/feature fingerprint database

引用本文复制引用

蒋西平,李永福,龙英凯,王旭鹏,汪泽州..GIS设备机械缺陷振动信号特征分析技术研究[J].高压电器,2025,61(2):17-25,34,10.

基金项目

重庆市技术创新与应用发展专项面上项目(cstc2019jscx-msxmX0072) (cstc2019jscx-msxmX0072)

重庆市电力公司科技项目(2018渝电科技#5,2022渝电科技#26).Project Supported by Chongqing Technology Innovation and Application Development Special Surface Project(cstc2019jscx-msxmX0072),Science and Technology Project of Chongqing Electric Power Company(2018 Yudian Technology#5,2022 Yudian Technology#26). (2018渝电科技#5,2022渝电科技#26)

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