{'fraction_non_alphanumeric': 0.016928657799274487, 'fraction_numerical': 0.0, 'mean_word_length': 4.914285714285715, '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 method to detect weak components based on synchrosqueezing operator

In the industrial field, how to find the fault and diagnosis the fault have become an urgent requirement. In which the early fault diagnosis is the most challenging, due to the information related to the early fault is almost too weak, that is hard to be found. In this paper, we focus on a classical signal processing method called synchrosqueezing transform (SST) that is re-designed to detect the early fault. In the framework of the SST, The synchrosqueezing operator is considered as a novel technology to detect the weak component in a signal. Then the estimation of instantaneous frequency is explored and severed for the signal decomposition. The numerical and experimental signals are employed to validate the effectiveness of our proposed method.