A multilevel prediction model of carbon efficiency based on the differential evolution algorithm for the iron ore sintering process J Hu, M Wu, X Chen, S Du, P Zhang, W Cao, J She
IEEE Transactions on Industrial Electronics 65 (11), 8778-8787, 2018
67 2018 A fuzzy control strategy of burn-through point based on the feature extraction of time-series trend for iron ore sintering process S Du, M Wu, L Chen, K Zhou, J Hu, W Cao, W Pedrycz
IEEE Transactions on Industrial Informatics 16 (4), 2357-2368, 2019
51 2019 T–S fuzzy logic based modeling and robust control for burning-through point in sintering process X Chen, J Hu, M Wu, W Cao
IEEE Transactions on Industrial Electronics 64 (12), 9378-9388, 2017
41 2017 Hybrid modeling and online optimization strategy for improving carbon efficiency in iron ore sintering process J Hu, M Wu, X Chen, S Du, W Cao, J She
Information Sciences 483, 232-246, 2019
35 2019 Weighted kernel fuzzy c-means-based broad learning model for time-series prediction of carbon efficiency in iron ore sintering process J Hu, M Wu, L Chen, K Zhou, P Zhang, W Pedrycz
IEEE Transactions on Cybernetics, 2020
28 2020 Intelligent integrated control for burn-through point to carbon efficiency optimization in iron ore sintering process S Du, M Wu, X Chen, J Hu, W Cao
IEEE Transactions on Control Systems Technology 28 (6), 2497-2505, 2019
25 2019 Multi-model ensemble prediction model for carbon efficiency with application to iron ore sintering process J Hu, M Wu, X Chen, W Cao, W Pedrycz
Control Engineering Practice 88, 141-151, 2019
24 2019 Discrimination and correction of abnormal data for condition monitoring of drilling process A Yang, M Wu, J Hu, L Chen, C Lu, W Cao
Neurocomputing 433, 275-286, 2021
21 2021 Operating mode recognition based on fluctuation interval prediction for iron ore sintering process S Du, M Wu, L Chen, J Hu, L Jin, W Cao, W Pedrycz
IEEE/ASME Transactions on Mechatronics 25 (5), 2297-2308, 2020
21 2020 A new hybrid modeling and optimization algorithm for improving carbon efficiency based on different time scales in sintering process K Zhou, X Chen, M Wu, W Cao, J Hu
Control Engineering Practice 91, 104104, 2019
21 2019 A novel modeling framework based on customized kernel-based fuzzy C-means clustering in iron ore sintering process J Hu, M Wu, L Chen, W Pedrycz
IEEE/ASME Transactions on Mechatronics 27 (2), 950-961, 2021
20 2021 Data augmentation considering distribution discrepancy for fault diagnosis of drilling process with limited samples A Yang, C Lu, W Yu, J Hu, Y Nakanishi, M Wu
IEEE Transactions on Industrial Electronics 70 (11), 11774-11783, 2022
19 2022 A New CO/CO K Zhou, X Chen, M Wu, S Du, J Hu, Y Nakanishi
IEEE Transactions on Industrial Informatics 17 (1), 333-345, 2020
17 2020 Real-time dynamic prediction model of carbon efficiency with working condition identification in sintering process J Hu, M Wu, L Chen, W Cao, W Pedrycz
Journal of Process Control 111, 97-105, 2022
16 2022 Prediction performance improvement via anomaly detection and correction of actual production data in iron ore sintering process J Hu, M Wu, P Zhang, W Pedrycz
IEEE Transactions on Industrial Informatics 16 (12), 7602-7612, 2020
12 2020 Optimization of coke ratio for the second proportioning phase in a sintering process base on a model of temperature field of material layer M Wu, J Ma, J Hu, X Chen, W Cao, J She
Neurocomputing 275, 10-18, 2018
12 2018 Soft-sensing of burn-through point based on weighted kernel just-in-time learning and fuzzy broad-learning system in sintering process J Hu, M Wu, W Cao, W Pedrycz
IEEE Transactions on Industrial Informatics 20 (5), 7316-7324, 2024
10 2024 A multi-objective optimisation algorithm for a drilling trajectory constrained to wellbore stability W Huang, M Wu, J Hu, L Chen, C Lu, X Chen, W Cao
International Journal of Systems Science 53 (1), 154-167, 2022
9 2022 Hybrid prediction model of carbon efficiency for sintering process J Hu, M Wu, X Chen, J She, W Cao, L Chen, H Ding
IFAC-PapersOnLine 50 (1), 10238-10243, 2017
9 2017 Decision fusion scheme based on mode decomposition and evidence theory for fault diagnosis of drilling process A Yang, M Wu, C Lu, W Yu, J Hu, Y Nakanishi
IEEE Transactions on Industrial Informatics 20 (2), 2017-2028, 2023
8 2023 
Min WuProfessor, IEEE Fellow, China University of GeosciencesEmail verificata su cug.edu.cn
