高压电器2025，Vol.61Issue(6)：52-58,67,8.DOI:10.13296/j.1001-1609.hva.2025.06.006
基于声振联合定位技术的GIL机械故障检测系统研究
Research on GIL Mechanical Fault Detection System Based on Combined Vibration and Acoustic Location Technology
摘要
Abstract
As a non-electrical detection means,vibration and noise detection has received extensive attention in the fault diagnosis of power equipment due to its strong anti-interference ability and high accuracy.In this paper,the vi-bration and noise technology is jointly introduced into the mechanical fault detection and location of gas-insulated metal transmission(GIL)equipment.Firstly,a GIL mechanical fault diagnosis model is constructed in combination with vibration signals.Hundreds of sets of vibration signal data of the GIL are collected and analyzed in the time and frequency domains.Then,the traditional vector machine(SVM)is improved by the seagull optimization algorithm(SOA).The SOA-SVM training data set is constructed and good results are achieved,which verifies the effectiveness of the model.Finally,the location of GIL mechanical faults is studied in combination with noise signals,and a visual GIL mechanical fault detection system is designed and developed,which is expected to be promoted and applied in the future.关键词
GIL/振动信号/支持向量机/故障定位Key words
GIL/vibration detection/support vector machine/fault location引用本文复制引用
徐爱华,臧春艳,李一硕,胡红波,许昊,徐圣博,郭海..基于声振联合定位技术的GIL机械故障检测系统研究[J].高压电器,2025,61(6):52-58,67,8.基金项目
国家市场监督管理总局科技计划项目(2022MK083).Project Supported by Technology Plan Project of State Administration for Market Regulation(2022MK083). （2022MK083）
