高压电器2025，Vol.61Issue(6)：16-23,8.DOI:10.13296/j.1001-1609.hva.2025.06.002
基于声纹特征分析的GIS设备隔离开关分合闸状态监测
Opening and Closing State Monitoring for GIS Disconnector Based on Voiceprint Characteristic Analysis
摘要
Abstract
In view of the limit effect and prone to environmental interference of existing monitoring method in the opening and closing state monitoring of GIS disconnector,a kind of opening and closing state monitoring method of disconnector,which is based on the voiceprint characteristic analysis,is proposed in this paper.Firstly,for the angle and linear type disconnectors,the actual opening and closing as well as actual environmental noise audio are collect-ed,the related audio is subjected to the noise addition processing so to build the opening and closing dataset of the disconnector which is more closer to the actual environment.Then,the MFCC features as voiceprint features from the opening and closing audio of the disconnector are extracted.Finally,the neural network model is trained by the extracted voiceprint features to construct the opening and closing state monitoring algorithm of disconnector.The ex-perimental results show that the proposed opening and closing state monitoring method of disconnector,compared to the traditional voiceprint monitoring method,can effectively improve the recognition,and can be accurately recog-nized under different noise conditions.The final results of system validation experiment show that the average recog-nition rate of opening and closing state of the two types of disconnectors,which is performed by the proposed method in this paper,can be up to 96.5%.关键词
隔离开关/分合闸状态/声纹特征/神经网络Key words
disconnector/opening and closing state/voiceprint/neural network引用本文复制引用
陈富国,蒋壮强,李中旗,陈亮,赵丽丽,蔡杰..基于声纹特征分析的GIS设备隔离开关分合闸状态监测[J].高压电器,2025,61(6):16-23,8.基金项目
国家自然科学基金资助项目(U2166214).Project Supported by National Natural Science Foundation of China(U2166214). （U2166214）
