基于小波变换的补偿电容故障自动识别方法  

Automatic Fault Identification of Compensation Capacitor Based on Wavelet Transform

作　　者：许庆阳 刘晓亮 高利民 孟景辉 Xu Qingyang;Liu Xiaoliang;Gao Limin;Meng Jinghui

机构地区：[1]中国铁道科学研究院集团有限公司基础设施检测研究所,北京100081 [2]中国国家铁路集团有限公司基础设施检测中心,北京100081

出　　处：《铁道通信信号》2020年第3期25-29,共5页Railway Signalling & Communication

基　　金：北京铁科英迈技术有限公司基金项目,基于信号动态检测系统数据的智能处理与分析系统研究,2017JJXM21。

摘　　要：针对当前高速综合检测车中,信号检测系统自动化水平较低、需要凭借人工经验检查故障等问题,提出一种基于小波变换的补偿电容故障自动识别方法。该方法首先对补偿电容检测数据进行降噪处理,然后对降噪处理后的数据进行脉冲识别,最后自动识别出补偿电容失效位置,从而达到补偿电容故障自动识别的目的。实验结果表明,该方法能满足现场使用需求。Aiming at the problems of low automation level of signal inspection system and the burden to check faults relying on manual experience in current high-speed integrated inspection vehicle,an intelligent diagnosis method of compensation capacitor’s signal based on wavelet transform is proposed.This method firstly makes noise reduction to compensation capacitor’s detection data and then the data is further used to recognize the pulse after noise reduction.Finally,the failure position of compensation capacitor can be identified automatically so as to achieve automatic recognition of compensation capacitor failures.In addition,the test results show that this method can meet the need of field use.

关 键 词：自动诊断 信号检测系统 补偿电容 小波降噪 脉冲识别 

分 类 号：U284.91[交通运输工程—交通信息工程及控制]