摘要
目前电力系统中的通信大多采用光纤方式,而光纤曲线比较复杂,当出现故障时不容易确定故障点。本文利用小波变换在奇异信号检测和信号滤波方面的优势,给出了光纤故障监测的解决方案,实现了在强噪声干扰下的事件点的准确检测。利用对小波域系数的阈值去噪和信号增强相结合的方法,充分抑制噪声,同时增强突变信号;不但可以准确地在强噪声干扰的情况下检测出事件点,还能精确地确定事件点的位置。
Currently, most power system communication uses optical fiber, which is not easy to determine the error point when something faults happened. Based on the advantage of signal monitoring and signal filtering of wavelet transform, the paper creates a solution that can detect the events under the noise with monitoring accuracy. The combination of the threshold denoising of wavelet coefficients and the mutation signal enhancement can restrain the noise and enhance abrupt signal. That can detect the reason in the case of strong noisy accurately and locate the position of error precisely.
出处
《价值工程》
2016年第2期84-87,共4页
Value Engineering
基金
云南省工信委:云铜集团博士后人才培养及地质专业工业人才队伍建设
编号:201508
