Domain adaptation-based deep feature learning method with a mixture of distance measures for bearing fault diagnosis
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DOI: 10.1088/1361-6501/abeddd
Abstract: The success of deep learning-based bearing fault diagnosis depends on (a) training data and test data following the same data distribution; (b) a mass of labeled fault data being available. However, the working conditions of… read more here.
Keywords: mixture distance; fault; bearing fault; fault diagnosis ... See more keywords