基于小波变换的断路器振动信号去噪处理

Denoising Processing for Vibration Signals of Circuit Breaker Based on Wavelet Transform

高压断路器运行过程中,电路噪声与储能电动机负荷扰动引起采集信号出现尖峰脉冲,导致采集数据不准确,影响对断路器运行状态的准确判断。针对此问题,基于Daubechies6小波对采集到的数据进行处理,屏蔽高频噪声信号,得到能真实反映高压断路器工作状态的特征参数。将小波去噪算法应用于VJY-12P/T630-25-210(Z)型高压真空断路器试验平台,试验结果表明:经过去噪处理得到的特征参数能够准确反映断路器的实际运行状态,避免因干扰信号造成的系统误判和非计划停电事故。

Circuit noise and load disturbance of the energy storage motor during operation of the circuit breaker may cause spike pulse appear in collection signals which will lead to inaccurate collected data and affect accurate judgement on operating state of the circuit breaker. Therefore, this paper makes use of Daubechies6 wavelet to process collected data and shield high-frequency noise signals so as to obtain characteristic parameters truly reflect working state of the high voltage circuit breaker. The wavelet denoising algorithm is used in the test platform for VJY-12P/T630-25-210(Z)typed high voltage vacuum circuit breaker. The test result indicates that characteristic parameters after denoising can accurately reflect actual operating state of the circuit breaker and avoid misjudgement on the system and unplanned blackout caused by interference signals.