CAJ | 학술논문

基于光纤传感的地铁杂散电流监测系统所采集到的数据中存在的噪声主要包括3个方面：传感光路系统的噪声、光电转换部分的噪声、信号采集电路的噪声。为了有效地消除整个传感系统中的噪声，通过对其进行小波变换分析进行信噪分离。利用小波阈值去噪方法，并通过合理地选取阈值函数，以及选用Daubechies小波系作为小波基，对电流信号以及杂散电流信号进行去噪处理。结果显示小波阈值去噪方法能很好地滤除信号中存在的绝大部分噪声，处理后的曲线比较理想，保证测量的准确度。
기우광섬전감적지철잡산전류감측계통소채집도적수거중존재적조성주요포괄3개방면：전감광로계통적조성、광전전환부분적조성、신호채집전로적조성。위료유효지소제정개전감계통중적조성，통과대기진행소파변환분석진행신조분리。이용소파역치거조방법，병통과합리지선취역치함수，이급선용Daubechies소파계작위소파기，대전류신호이급잡산전류신호진행거조처리。결과현시소파역치거조방법능흔호지려제신호중존재적절대부분조성，처리후적곡선비교이상，보증측량적준학도。
The data collected from the metro stray current monitoring system based on optical fiber sensing existed noise, which mainly included three aspects, such as the noise of sensing optical path system, the noise of photoelectric conversion and the noise of signal acquisition circuit. In order to eliminate efficiently those noises from the whole sensing system, the wavelet analysis is used to process signal-noise separation. The wavelet threshold denoising method is used, the threshold function is reasonably chosen and Daubechies wavelet is selected as a wavelet basis, which is used to eliminate the noise of current signal and stray current signal. The results show that the wavelet threshold denoising method can eliminate most of the noise, the curve is ideal after processing, and the accuracy of the measurement is ensured.