{'fraction_non_alphanumeric': 0.01878612716763006, 'fraction_numerical': 0.0, 'mean_word_length': 5.93, '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}}
A General Approach for Change Detection in Vibration Signals with Application in Machine Health Monitoring

The paper presents a general approach for change detection in vibration signals with application in machine health monitoring using advanced signal processing techniques. These techniques mainly include change detection (CD) algorithms, independent component analysis, time-frequency analysis, energy concentration evaluation, as auxiliary tools for feature extraction and analysis of vibration signals. They operate in a reduced dimension space, highlight and enhance the changes in signals. Finally, the paper presents a case study in health status monitoring of an industrial pump.