Enhui Liu
Orcid: 0000-0003-2056-4076
According to our database1,
Enhui Liu
authored at least 13 papers
between 2016 and 2025.
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Bibliography
2025
IEEE Trans. Syst. Man Cybern. Syst., January, 2025
2024
IEEE Trans. Ind. Informatics, January, 2024
2023
IEEE Trans. Instrum. Meas., 2023
Enhanced Discriminate Feature Learning Deep Residual CNN for Multitask Bearing Fault Diagnosis With Information Fusion.
IEEE Trans. Ind. Informatics, 2023
2022
IEEE Trans. Ind. Electron., 2022
Lebesgue Sampling Based Deep Belief Network for Lithium-Ion Battery Diagnosis and Prognosis.
IEEE Trans. Ind. Electron., 2022
Uncertainty Management and Differential Model Decomposition for Fault Diagnosis and Prognosis.
IEEE Trans. Ind. Electron., 2022
Lebesgue Sampling-Based Li-Ion Battery Simplified First Principle Model for SOC Estimation and RDT Prediction.
IEEE Trans. Ind. Electron., 2022
Time space modelling for fault diagnosis and prognosis with uncertainty management: A general theoretical formulation.
Reliab. Eng. Syst. Saf., 2022
2021
RUL Prediction and Uncertainty Management for Multisensor System Using an Integrated Data-Level Fusion and UPF Approach.
IEEE Trans. Ind. Informatics, 2021
SOH Diagnostic and Prognostic Based on External Health Indicator of Lithium-ion Batteries.
Proceedings of the IECON 2021, 2021
A Deep Residual Convolutional Neural Network based Bearing Fault Diagnosis with Multi-Sensor Data.
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021
2016