HF-MSCN: a high frequency-multiscale cascade network for bearing fault diagnosis
Alaeldden Abduelhadi,
Haopeng Liang,
Jie Cao
et al.
Abstract:In the field of data-driven fault diagnosis (FD), deep learning methods have proven their excellent performance, especially when dealing with complex signals from rotating equipment such as bearings. However, fault features in vibration signals are often mixed with noise features and distributed at different frequency scales, posing challenges for effective feature extraction. In order to solve this problem, this paper proposes a high frequency-multiscale cascade network (HF-MSCN), which enhances the noise sup… Show more
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