T-S Fuzzy Logic Based Modeling and Robust Control for Burning-Through Point in Sintering Process. - Xin Chen 012; Jie Hu 013; Min Wu 002; Weihua Cao (IEEE Trans. Ind. Electron., 2017)

Optimization of coke ratio for the second proportioning phase in a sintering process base on a model of temperature field of material layer. - Min Wu 002; Junjie Ma; Jie Hu 013; Xin Chen 012; Weihua Cao; Jinhua She (Neurocomputing, 2018)

A Multilevel Prediction Model of Carbon Efficiency Based on the Differential Evolution Algorithm for the Iron Ore Sintering Process. - Jie Hu 013; Min Wu 002; Xin Chen 012; Sheng Du; Pan Zhang 002; Weihua Cao; Jinhua She (IEEE Trans. Ind. Electron., 2018)

Hybrid modeling and online optimization strategy for improving carbon efficiency in iron ore sintering process. - Jie Hu 013; Min Wu 002; Xin Chen 012; Sheng Du; Weihua Cao; Jinhua She (Inf. Sci., 2019)

Intelligent Integrated Control for Burn-Through Point to Carbon Efficiency Optimization in Iron Ore Sintering Process. - Sheng Du; Min Wu 002; Xin Chen 012; Jie Hu 013; Weihua Cao (IEEE Trans. Control. Syst. Technol., 2020)

A Fuzzy Control Strategy of Burn-Through Point Based on the Feature Extraction of Time-Series Trend for Iron Ore Sintering Process. - Sheng Du; Min Wu 002; Luefeng Chen; Kailong Zhou; Jie Hu 013; Weihua Cao; Witold Pedrycz (IEEE Trans. Ind. Informatics, 2020)

Prediction Performance Improvement via Anomaly Detection and Correction of Actual Production Data in Iron Ore Sintering Process. - Jie Hu 013; Min Wu 002; Pan Zhang 002; Witold Pedrycz (IEEE Trans. Ind. Informatics, 2020)

Discrimination and correction of abnormal data for condition monitoring of drilling process. - Aoxue Yang; Min Wu 002; Jie Hu 013; Luefeng Chen; Chengda Lu; Weihua Cao (Neurocomputing, 2021)

Intelligent Compensating Method for MPC-Based Deviation Correction with Stratum Uncertainty in Vertical Drilling Process. - Dian Zhang; Min Wu 002; Chengda Lu; Luefeng Chen; Weihua Cao; Jie Hu 013 (J. Adv. Comput. Intell. Intell. Informatics, 2021)

A New CO/CO$_2$ Prediction Model Based on Labeled and Unlabeled Process Data for Sintering Process. - Kailong Zhou; Xin Chen 012; Min Wu 002; Sheng Du; Jie Hu 013; Yosuke Nakanishi (IEEE Trans. Ind. Informatics, 2021)

Rate of penetration prediction using hybrid Gaussian process regression model with ARD structure in geological drilling process. - Xiao Wu; Xuzhi Lai; Jie Hu 013; Xin Chen 012; Weihua Cao; Min Wu 002 (ASCC, 2022)

A multi-objective optimisation algorithm for a drilling trajectory constrained to wellbore stability. - Wendi Huang; Min Wu 002; Jie Hu 013; Luefeng Chen; Chengda Lu; Xin Chen 012; Weihua Cao (Int. J. Syst. Sci., 2022)

Weighted Kernel Fuzzy C-Means-Based Broad Learning Model for Time-Series Prediction of Carbon Efficiency in Iron Ore Sintering Process. - Jie Hu 013; Min Wu 002; Luefeng Chen; Kailong Zhou; Pan Zhang 002; Witold Pedrycz (IEEE Trans. Cybern., 2022)

Tube-Based Adaptive Model Predictive Control for Deviation Correction in Vertical Drilling Process. - Dian Zhang; Min Wu 002; Chengda Lu; Luefeng Chen; Weihua Cao; Yao-Wei Wang; Jie Hu 013 (IEEE Trans. Ind. Electron., 2022)

Prediction and scheduling for blast furnace gas generation based on time series feature extraction. - Huihang Li; Jie Hu 013; Qingfeng Yang; Luefeng Chen; Min Wu 002 (ICPS, 2023)

Short - Term Prediction of Coke Pushing Current Peak Based on Improved ARIMA Model. - Haiyang Wei; Luefeng Chen; Jie Hu 013; Yi Ren; Min Wu 002; Witold Pedrycz; Kaoru Hirota (ICPS, 2023)

Prediction of Silicon Content in Molten Iron of Blast Furnace Based on Multi-dimensional Sequential Characteristic Reconstruction. - Zhuofu Zhang; Weihua Cao; Jie Hu 013; Qifu Chen; Min Wu 002 (ICPS, 2023)

Drill-String Dynamics Model of Horizontal Coal Mine Wells Considering Intermittent Borehole Wall Contact. - Jie Hu 013; Chengda Lu; Luefeng Chen; Quanxin Li; Wangnian Li; Hongchao Wei; Min Wu 002 (J. Adv. Comput. Intell. Intell. Informatics, 2023)

Condition Recognition Method with Information Granulation for Burden Distribution in Blast Furnace. - Yuanfeng Huang; Sheng Du; Jie Hu 013; Witold Pedrycz; Min Wu 002 (J. Adv. Comput. Intell. Intell. Informatics, 2023)

Data Augmentation Considering Distribution Discrepancy for Fault Diagnosis of Drilling Process With Limited Samples. - Aoxue Yang; Chengda Lu; Wanke Yu; Jie Hu 013; Yosuke Nakanishi; Min Wu 002 (IEEE Trans. Ind. Electron., 2023)

Improvement of Rate of Penetration in Drilling Process Based on TCN-Vibration Recognition. - Xiao Wu; Xuzhi Lai; Jie Hu 013; Chengda Lu; Min Wu 002 (IEEE Trans. Instrum. Meas., 2024)

Decision Fusion Scheme Based on Mode Decomposition and Evidence Theory for Fault Diagnosis of Drilling Process. - Aoxue Yang; Min Wu 002; Chengda Lu; Wanke Yu; Jie Hu 013; Yosuke Nakanishi (IEEE Trans. Ind. Informatics, 2024)

Dynamic Modeling Framework Based on Automatic Identification of Operating Conditions for Sintering Carbon Consumption Prediction. - Jie Hu 013; Min Wu 002; Weihua Cao; Witold Pedrycz (IEEE Trans. Ind. Electron., 2024)

Condition Recognition Strategy Based on Fuzzy Clustering With Information Granulation for Blast Furnace. - Yuanfeng Huang; Sheng Du; Jie Hu 013; Witold Pedrycz; Min Wu 002 (IEEE Trans. Ind. Informatics, 2024)

Intelligent Control of Pre-Chamber Pressure Based on Working Condition Identification for the Coke Dry Quenching Process. - Yi Ren; Xuzhi Lai; Jie Hu 013; Sheng Du; Luefeng Chen; Min Wu 002 (J. Adv. Comput. Intell. Intell. Informatics, 2024)

Soft-Sensing of Burn-Through Point Based on Weighted Kernel Just-in-Time Learning and Fuzzy Broad-Learning System in Sintering Process. - Jie Hu 013; Min Wu 002; Weihua Cao; Witold Pedrycz (IEEE Trans. Ind. Informatics, 2024)

A transfer learning-based plate shape prediction model with limited samples for roller quenching process. - Wen Zhang; Min Wu 002; Sheng Du; Luefeng Chen; Jie Hu 013; Naoyuki Kubota (Eng. Appl. Artif. Intell., 2025)

Efficiency-safety coordination optimization in drilling process under complex formations. - Xiao Wu; Xuzhi Lai; Jie Hu 013; Chengda Lu; Xiao Yang; Yang Zhou; Min Wu 002 (Neurocomputing, 2025)

Multiscale Temporal Convolutional Network-Based End-to-End Recognition of Drill-String Stick-Slip Vibration in Drilling Process. - Xiao Wu; Xuzhi Lai; Jie Hu 013; Chengda Lu; Min Wu 002 (IEEE Trans. Ind. Informatics, 2025)

Adaptive Weighted Broad Echo State Learning System-Based Dynamic Modeling of Carbon Consumption in Sintering Process. - Jie Hu 013; Min Wu 002; Witold Pedrycz (IEEE Trans. Neural Networks Learn. Syst., 2025)

Intelligent Plate Shape Control Strategy With Batch Changeover and Its Application in Roller Quenching Process. - Wen Zhang; Min Wu 002; Sheng Du; Luefeng Chen; Jie Hu 013; Naoyuki Kubota (IEEE Trans. Ind. Electron., 2025)