{'fraction_non_alphanumeric': 0.018963337547408345, 'fraction_numerical': 0.0, 'mean_word_length': 5.827586206896552, '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}}
Electromagnetic interference detection using wavelet transform

This paper presents an advanced mathematical tool for analyzing the electromagnetic transients associated with power electronics system faults and disturbances. Disturbances that are nonperiodic require a more powerful mathematical technique than MoM, FEM, and AWE. In this paper, the authors propose the use of a time-frequency multi-resolution wavelet analysis of electromagnetic interference (EMI). The wavelet transform translated the time-domain function into a representation localized not only in frequency but also in time. As a consequence, the simulation methodologies in the paper are useful for EMI diagnosis and transient fault detection. Testing results show the feasibility and effectiveness for the application.