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Enhanced Discriminate Feature Learning Deep Residual CNN for Multitask Bearing Fault Diagnosis With Information Fusion.

, , , , and . IEEE Trans. Ind. Informatics, 19 (1): 762-770 (2023)

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Uncertainty Analysis in the Application of Fault Diagnosis and Prognosis., , , , and . ICPS, page 686-690. IEEE, (2021)Time space modelling for fault diagnosis and prognosis with uncertainty management: A general theoretical formulation., , , , , , and . Reliab. Eng. Syst. Saf., (2022)An optimized adaptive PReLU-DBN for rolling element bearing fault diagnosis., , , , and . Neurocomputing, (2021)Low-Cost Adaptive LS-DEKF for SOC Estimation and RDT Prediction With SFP Model., , , , and . IEEE Trans. Instrum. Meas., (2023)Uncertainty Management and Differential Model Decomposition for Fault Diagnosis and Prognosis., , , , , and . IEEE Trans. Ind. Electron., 69 (5): 5235-5246 (2022)Cost-Effective Lebesgue Sampling Long Short-Term Memory Networks for Lithium-Ion Batteries Diagnosis and Prognosis., , , and . IEEE Trans. Ind. Electron., 69 (2): 1958-1967 (2022)Enhanced Discriminate Feature Learning Deep Residual CNN for Multitask Bearing Fault Diagnosis With Information Fusion., , , , and . IEEE Trans. Ind. Informatics, 19 (1): 762-770 (2023)Machine Condition Prediction Based on Long Short Term Memory and Particle Filtering., , and . IECON, page 5942-5947. IEEE, (2018)A Deep Residual Convolutional Neural Network based Bearing Fault Diagnosis with Multi-Sensor Data., , , , and . ICPS, page 655-660. IEEE, (2021)Lebesgue Sampling-Based Li-Ion Battery Simplified First Principle Model for SOC Estimation and RDT Prediction., , , , , and . IEEE Trans. Ind. Electron., 69 (9): 9524-9534 (2022)