Fault diagnosis in underground power cords using complex wavelet analysis

Signal processing methods may be used to identify faults in underground power lines by analyzing voltage and current data. We investigate the possibility of using sophisticated wavelet analysis to identify faults in this paper. We use continuous wavelet transform (CWT) to integrate complex wavelets and compute impedance from voltage and current data in the wavelet domain. The magnitude and phase distributions of the impedance are then investigated under different circumstances. We put our analytical method to the test using data from several kinds of cables. The findings demonstrate that a sophisticated wavelet analysis-based method may generate distinct fingerprints for distinguishing between different types of data.