基于小波脉冲相关的电缆故障时域反射测距方法
A Time-domain-reflectometry Cable Fault Location Method Using Wavelet Pulses and Cross-correlation
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摘要: 针对时域反射法电缆故障测距技术在长电缆、强衰减情况下测距精度和自动化程度低的问题,研究脉冲信号传输畸变对相关分析的影响,并提出一种基于注入小波脉冲和相关分析的自动测距方法。在电缆信号传播特性分析的基础上,得到波形传播畸变中仅有色散因素会影响相关分析准确度的结论。设计能带集中且可低成本产生的双极性矩形小波脉冲。仿真和实测结果显示,小波脉冲相关方法通过局部最值检测能够实现自动测距,其测距精度高于矩形脉冲方法,与高斯包络窄带脉冲方法相近,抗噪声干扰能力强于二者。Abstract: Aiming to locate faults automatically in situations of long cables and strong attenuation, a cross-correlation based time-domain-reflectometry(TDR) cable fault location method was presented. Based on the analysis of the transmission characteristics of cables, it was proved that the dispersion is the only effect that decreases the precision of correlation analysis. Bi-polar rectangular wavelet pulses were designed, which have concentrated energy spectra and can be generated with low-cost switches. Simulations and experiments show that the location precision of wavelet-pulse-based TDRs is higher than traditional TDRs and close to Gaussian-envelope-pulse-based TDRs. Besides, wavelet-pulse-based TDRs have strong noise resistance.