Cable Fault Location Technology Based on TFDR Waveform Time-Domain Envelope

Ji WU , Zuoxin TANG , Xiangyang PENG , Yuhao WANG , Shihu YU , Kai ZHOU

›› 2023, Vol. 17 ›› Issue (12) : 18 -27.

PDF
›› 2023, Vol. 17 ›› Issue (12) : 18 -27. DOI: 10.13648/j.cnki.issn1674-0629.2023.12.003
research-article

Cable Fault Location Technology Based on TFDR Waveform Time-Domain Envelope

Author information +
History +
PDF

Abstract

The traditional time-domain reflection method is only applicable to more serious defects or faults because of its low content of high-frequency components, large signal attenuation in the transmission process in the cable, and the inability to compensate for the signal dispersion attenuation. It can not detect local weak defects well, and its positioning accuracy is low. Based on this, according to the characteristics of the reference signal, this paper proposes a positioning technology based on the waveform time-domain envelope. First, the reference signal and its reflected signal are enveloped by Hilbert transform in the time domain, then the envelope curve is logarithmized and normalized, and finally the eighth order Butterworth band-pass filter is used to filter and suppress noise. After that, 50 m and 500 m long power cables are actually tested, respectively. The results show that the time-domain envelope technology can effectively locate cable defects. At the same time, the type of cable defect can also be judged according to the change of time domain waveform.

Keywords

time-frequency domain reflection method / wavelet denoising / time-domain envelope / fault location / reference signal

Cite this article

Download citation ▾
Ji WU,Zuoxin TANG,Xiangyang PENG,Yuhao WANG,Shihu YU,Kai ZHOU. Cable Fault Location Technology Based on TFDR Waveform Time-Domain Envelope. 2023, 17(12): 18-27 DOI:10.13648/j.cnki.issn1674-0629.2023.12.003

登录浏览全文

4963

注册一个新账户 忘记密码

References

Funding

the Science and Technology Project of China Southern Power Grid Co., Ltd.(036100KK52200052(GDK JXM20202022)

PDF

6

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/