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Generalization of Deep Neural Networks for Imbalanced Fault Classification of Machinery Using Generative Adversarial Networks., , , , , and . IEEE Access, (2019)A Novel Transfer Learning Method for Fault Diagnosis Using Maximum Classifier Discrepancy With Marginal Probability Distribution Adaptation., , , , , and . IEEE Access, (2020)Partial Domain Adaptation Method Based on Class-Weighted Alignment for Fault Diagnosis of Rotating Machinery., , , , and . IEEE Trans. Instrum. Meas., (2022)Enhanced sparse filtering with strong noise adaptability and its application on rotating machinery fault diagnosis., , , , , and . Neurocomputing, (2020)Batch-normalized deep neural networks for achieving fast intelligent fault diagnosis of machines., , , , , and . Neurocomputing, (2019)A New Transfer Learning Method and its Application on Rotating Machine Fault Diagnosis Under Variant Working Conditions., , and . IEEE Access, (2018)A novel geodesic flow kernel based domain adaptation approach for intelligent fault diagnosis under varying working condition., , , , and . Neurocomputing, (2020)An attention mechanism-guided domain adversarial network for gearbox fault diagnosis under different operating conditions., , , , , , , and . Trans. Inst. Meas. Control, 46 (5): 927-937 (2024)A renewable fusion fault diagnosis network for the variable speed conditions under unbalanced samples., , , , , and . Neurocomputing, (2020)A New Dual-Domain Signal Collaborative Transfer Network for Bearing Fault Diagnosis., , , , , , , , and . IEEE Trans. Instrum. Meas., (2024)