TY  - JOUR
T1  - Decomposition and Reconstitution of STDR Signals Using Wavelet Transform for Location Estimation of Cable Fault
AU  - Kim, Woo Gyun 
AU  - Park, Ki Hyun 
AU  - Bang, Sang Hyuk 
AU  - Park, So Ryoung 
JO  - The Journal of Korean Institute of Communications and Information Sciences
PY  - 2025
DA  - 2025/1/1
DO  - 10.7840/kics.2025.50.1.134
KW  - STDR(sequence time-domain reflectometry)
KW  - fault of live wire
KW  - wavelet transform
KW  - EMD (empirical mode decomposition)
KW  - logistic regression
AB  - In this paper, we propose decomposition and reconstitution techniques of STDR signals to improve the estimation performance of a fault location in live wire systems. The discrete wavelet transform is used for signal decomposition and the logistic regression is used for obtaining the reconstitution weights. The location of a cable fault is estimated using the correlation function of the reconstituted STDR signal and the injected sequence signal in time domain. The estimation performances of the fault location using the proposed wavelet-based methods are compared with those using the preceding EMD(empirical mode decomposition)-based methods in live wire systems. The results demonstrate that unnecessary components can be effectively removed and important components can be combined to increase the accuracy of location estimation by assigning appropriate weights to the detail components of the fault signals decomposed using the wavelet transform.