Collaborative and Conditional Deep Adversarial Network for Intelligent Bearing Fault Diagnosis
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DOI: 10.1109/tim.2022.3208661
Abstract: In real applications, the data distribution may be inconsistent due to the different working conditions of the equipment, resulting in significant performance degradation of a well-trained faults diagnosis model. To this end, unsupervised domain adaptation… read more here.
Keywords: collaborative conditional; deep adversarial; diagnosis; conditional deep ... See more keywords