Jie Hu
Orcid: 0000-0002-1725-6366Affiliations:
- China University of Geosciences, Wuhan, China
- Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China
According to our database1,
Jie Hu
authored at least 23 papers
between 2017 and 2024.
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Bibliography
2024
Condition Recognition Strategy Based on Fuzzy Clustering With Information Granulation for Blast Furnace.
IEEE Trans. Ind. Informatics, April, 2024
Dynamic Modeling Framework Based on Automatic Identification of Operating Conditions for Sintering Carbon Consumption Prediction.
IEEE Trans. Ind. Electron., March, 2024
Decision Fusion Scheme Based on Mode Decomposition and Evidence Theory for Fault Diagnosis of Drilling Process.
IEEE Trans. Ind. Informatics, February, 2024
2023
Data Augmentation Considering Distribution Discrepancy for Fault Diagnosis of Drilling Process With Limited Samples.
IEEE Trans. Ind. Electron., November, 2023
Condition Recognition Method with Information Granulation for Burden Distribution in Blast Furnace.
J. Adv. Comput. Intell. Intell. Informatics, July, 2023
Drill-String Dynamics Model of Horizontal Coal Mine Wells Considering Intermittent Borehole Wall Contact.
J. Adv. Comput. Intell. Intell. Informatics, March, 2023
Prediction of Silicon Content in Molten Iron of Blast Furnace Based on Multi-dimensional Sequential Characteristic Reconstruction.
Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023
Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023
Prediction and scheduling for blast furnace gas generation based on time series feature extraction.
Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023
2022
Tube-Based Adaptive Model Predictive Control for Deviation Correction in Vertical Drilling Process.
IEEE Trans. Ind. Electron., 2022
Weighted Kernel Fuzzy C-Means-Based Broad Learning Model for Time-Series Prediction of Carbon Efficiency in Iron Ore Sintering Process.
IEEE Trans. Cybern., 2022
A multi-objective optimisation algorithm for a drilling trajectory constrained to wellbore stability.
Int. J. Syst. Sci., 2022
Rate of penetration prediction using hybrid Gaussian process regression model with ARD structure in geological drilling process.
Proceedings of the 13th Asian Control Conference, 2022
2021
A New CO/CO$_2$ Prediction Model Based on Labeled and Unlabeled Process Data for Sintering Process.
IEEE Trans. Ind. Informatics, 2021
Intelligent Compensating Method for MPC-Based Deviation Correction with Stratum Uncertainty in Vertical Drilling Process.
J. Adv. Comput. Intell. Intell. Informatics, 2021
Discrimination and correction of abnormal data for condition monitoring of drilling process.
Neurocomputing, 2021
2020
Prediction Performance Improvement via Anomaly Detection and Correction of Actual Production Data in Iron Ore Sintering Process.
IEEE Trans. Ind. Informatics, 2020
A Fuzzy Control Strategy of Burn-Through Point Based on the Feature Extraction of Time-Series Trend for Iron Ore Sintering Process.
IEEE Trans. Ind. Informatics, 2020
Intelligent Integrated Control for Burn-Through Point to Carbon Efficiency Optimization in Iron Ore Sintering Process.
IEEE Trans. Control. Syst. Technol., 2020
2019
Hybrid modeling and online optimization strategy for improving carbon efficiency in iron ore sintering process.
Inf. Sci., 2019
2018
A Multilevel Prediction Model of Carbon Efficiency Based on the Differential Evolution Algorithm for the Iron Ore Sintering Process.
IEEE Trans. Ind. Electron., 2018
Optimization of coke ratio for the second proportioning phase in a sintering process base on a model of temperature field of material layer.
Neurocomputing, 2018
2017
T-S Fuzzy Logic Based Modeling and Robust Control for Burning-Through Point in Sintering Process.
IEEE Trans. Ind. Electron., 2017