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Parallel Cross-Sparse Filtering Networks and Its Application on Fault Diagnosis of Rotating Machinery.

, , , , and . J. Sensors, (2022)

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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)Adaptive Cross-Domain Feature Extraction Method and Its Application on Machinery Intelligent Fault Diagnosis Under Different Working Conditions., , , , and . IEEE Access, (2020)A Novel Unsupervised Learning Method Based on Cross-Normalization for Machinery Fault Diagnosis., , , , and . IEEE Access, (2020)A Generalizable Sample Resolution Augmentation Method for Mechanical Fault Diagnosis Based on ESPCN., , , , , , and . J. Sensors, (2021)Generalized sparse filtering for rotating machinery fault diagnosis., , , , and . J. Supercomput., 77 (4): 3402-3421 (2021)A Novel Data Augmentation Method for Intelligent Fault Diagnosis Under Speed Fluctuation Condition., , , , , and . IEEE Access, (2020)