高压开关柜在线监测及断路器行程信号的处理 

张思宇，梅军 
东南大学 电气工程学院, 江苏 南京 210096 
 

摘 要：提出了一种基于分布式结构和以太网通信方式的高压开关柜在线监测系统，该系统采用高级RISC微处理器(ARM)与现场可编程门阵列(FPGA)构成的嵌入式数据采集与通信单元。针对在线监测系统采集到的断路器行程信号，利用小波阈值消噪方法在消去噪声的同时较好地保留了信号的特征，对于经过去噪处理的离散行程信号，在Matlab软件中对其求微分，得到断路器动触头速度的离散数据曲线，求得的速度最大点即为刚合点，进而可得出断路器的开距、超程等参数，通过数据对比验证了此方法的有效性和准确性。
关键词：高压开关柜；在线监测；行程信号；消噪
中图分类号：TM561；TM591 文献标识码：A 文章编号：1007-3175(2013)12-0041-04

High-Voltage Switchgear Online Monitoring and Processing of Circuit Breakers Displacement Signal 

ZHANG Si-yu, MEI Jun 
School of Electrical Engineering, Southeast University, Nanjing 210096, China 
 

Abstract: This paper raised a kind of high-voltage switchgear online monitoring system based on distributed structure and Ethernet communication. The system adopted the advanced reduced instruction set computer (RISC) microprocessor (ARM) and field programmable gate array (FPGA) to constitute embedded data collecting and communication unit. In allusion to circuit breakers displacement signal of on-line monitoring system, wavelet threshold denoising method was used to remain characteristics of signals while denoising. The denoising dispersed displacement signals were differential in Matlab to obtain dispersed data curves of circuit breakers moving contacts speed. The maximum point of speed is the closing point, thus further to get open gap of circuit breakers, over distance etc parameters. Data comparison verifies the validity and correctness of the method.
           Key words: high-voltage switchgear; on-line monitoring; displacement signal; de-noising

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