利用小波变换检测地铁馈线故障
Fault Detection of Subway Feed Line by Means of Wavelet Transform
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摘要: 根据地铁运行电流、启动电流和故障电流的特点,电流微分增量保护的性能主要取决于电流增量的分离 效果和电流变化率di/dt与电流净增量的检出精度,一般的检测手段和分离方法存在着抗干扰能力差和检出精 度低等问题。提出利用小波变换检测浪涌电流,据此提取电流净增量的方法,可以解决这些问题。通过仿真证 实这种方法可行而有效,且明显优于其它检测手段。Abstract: A comprehensive analysis is made of the characteristics of the traction current, pickup current and fault current of subways. It is shown that the protection performance caused by differential current increment is mainly determined by the separation effect of current increment, the current change rate di/dtand the checkout precision of every current increment. Since common detection and separation ways have poor anti-interference and unacceptable checkout precision, wavelet transform is used to detect the surge current. Then based on this, the every current increment is extracted out to solve the above problems. Simulation experiments prove that applying wavelet transform to current detection is more practicable and effective than other detecting ways.
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Key words:
- subways /
- faut detection /
- wavelet transform /
- feed lines /
- protection
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