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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2937838
Abstract: In recent years, machine learning and deep learning based fault diagnosis methods have been studied, however, most of them remain at the experimental stage mainly because of two obstacles, briefly, a) inadequate faulty examples and…
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Keywords:
diagnosis;
based fault;
simulation resampling;
augmentation ... See more keywords