Enhui Liu

Orcid: 0000-0003-2056-4076

According to our database1, Enhui Liu authored at least 12 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
A Hybrid Bearing Prognostic Method With Fault Diagnosis and Model Fusion.
IEEE Trans. Ind. Informatics, January, 2024

2023
Low-Cost Adaptive LS-DEKF for SOC Estimation and RDT Prediction With SFP Model.
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
Reflectometry-Based Cable Insulation Aging Diagnosis and Prognosis.
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
Skeleton-based cerebrovascular quantitative analysis.
BMC Medical Imaging, 2016


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