{'fraction_non_alphanumeric': 0.03217821782178218, 'fraction_numerical': 0.009900990099009901, 'mean_word_length': 5.175572519083969, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Protection of Twelve-Phase Transmission Line Using RBWT

This paper presents a fault recognition technique for multi-position faults, nearby-faults, faraway-faults, and evolving faults in a 765-kV twelve-phase power transmission line (TPPTL). The presented technique is developed using the reverse biorthogonal-1.5 wavelet transform (RBWT) which is utilized to recognize the fault and discriminate the fault and the healthy-situations. A 765-kV twelve-phase power transmission line has been modeled and simulated using MATLAB/SIMULINK. The simulation outcomes showed that the RBWT-based technique is exceptionally perceptive and authentic to distinct faults. The supremacy of the RBWT is that it factually recognizes all probable faults in a TPPTL by utilizing the currents fetched at the first-end of TPPTL.