A novel method based on the SCNGO‐ICEEMDAN and MCNN‐BiLSTM model for fault diagnosis of motor bearings for more electric aircraft
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DOI: 10.1049/elp2.12508
Abstract: The fault signal characteristics of motor rolling bearings for more electric aircraft are easily masked by strong background noise. Directly using machine learning, deep learning, or other methods results in a lower accuracy in fault… read more here.
Keywords: bearings electric; method based; electric aircraft; mcnn ... See more keywords