{'fraction_non_alphanumeric': 0.019627085377821395, 'fraction_numerical': 0.0, 'mean_word_length': 5.181818181818182, '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}}
High-frequency spectral analysis of high impedance vegetation faults on a three-wire system

High Impedance Faults (HIFs) are extensively addressed in the literature due to their safety hazards and fire risks. The consequent small amplitude of fault currents makes it a challenging disturbance to be detected. Vegetation faults are a special case since even very low and brief fault currents can result in fire igniting embers. Such relevance led to the creation of the ‘Vegetation Ignition Testing Program’, a fault experiment program funded by the Victorian Government in response to a series of fires created by faulty electric assets in Australia. This paper aims to illustrate novel features found in the high-frequency voltage signals of the resulted dataset. Performed in a real functioning network, the tests resulted in pertinent findings. They can support future development of HIF detection methods, highlighting the importance of a reliable, fine-tuned, and secure detection method for fire risk mitigation.