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SOH Diagnostic and Prognostic Based on External Health Indicator of Lithium-ion Batteries.

, , , and . IECON, page 1-6. IEEE, (2021)

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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)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)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)Low-Cost Adaptive LS-DEKF for SOC Estimation and RDT Prediction With SFP Model., , , , and . IEEE Trans. Instrum. Meas., (2023)Uncertainty Analysis in the Application of Fault Diagnosis and Prognosis., , , , and . ICPS, page 686-690. IEEE, (2021)A Hybrid Bearing Prognostic Method With Fault Diagnosis and Model Fusion., , , and . IEEE Trans. Ind. Informatics, 20 (1): 864-872 (January 2024)State-of-charge estimation of Lithium-ion batteries by Lebesgue sampling-based EKF method., , , and . IECON, page 3233-3238. IEEE, (2017)SOH Diagnostic and Prognostic Based on External Health Indicator of Lithium-ion Batteries., , , and . IECON, page 1-6. IEEE, (2021)