摘要
声纹振动监测技术作为一种新兴的在线监测手段,已在变电站电力设备的运行状态监测中得到广泛应用。在过去几年里,随着传感器技术、信号处理技术和数据分析算法的不断发展,声纹振动监测技术取得了显著的进展。本文深入研究了变电站电力设备的声纹振动监测技术,探讨了系统架构故障诊断与预测方法,并设计了声纹振动在线监测系统。研究结果表明,声纹振动监测技术在变电站电力设备故障识别和预测方面具有很高的准确性和可靠性。
As a new on-line monitoring method,voice print vibration monitoring technology has been widely used in the operation condition monitoring of substation power equipment.In the past few years,sensor technology,signal processing technology and data analysis algorithms.This paper studies the voice print vibration monitoring technology of power equipment in substation,discusses the method of fault diagnosis and prediction,and an on-line monitoring system is designed.The results show that the voice print vibration monitoring technology described in the paper has high accuracy and reliability in the fault identification and prediction of substation power equipment.
作者
李志锦
黄腾鲲
LI Zhijin;HUANG Tengkun(Foshan Power Supply Bureau,Guangdong Power Grid Co.,Ltd.,Foshan 528000,Guangdong,China)
出处
《流体测量与控制》
2024年第2期97-100,共4页
Fluid Measurement & Control
关键词
电力设备
声纹监测
故障诊断
特征提取
故障识别
power equipment
voice print monitoring
fault diagnosis
feature extraction
fault identification
