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
66 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, 2020
49 2020 A fuzzy PID controller with nonlinear compensation term for mold level of continuous casting process Y Feng, M Wu, X Chen, L Chen, S Du
Information Sciences 539, 487-503, 2020
40 2020 Hybrid intelligent control based on condition identification for combustion process in heating furnace of compact strip production Y Feng, M Wu, L Chen, X Chen, W Cao, S Du, W Pedrycz
IEEE Transactions on Industrial Electronics 69 (3), 2790-2800, 2022
37 2022 Fault diagnosis based on feature clustering of time series data for loss and kick of drilling process Z Zhang, X Lai, M Wu, L Chen, C Lu, S Du
Journal of Process Control 102, 24-33, 2021
36 2021 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
36 2019 Prediction model of burn-through point with fuzzy time series for iron ore sintering process S Du, M Wu, L Chen, W Pedrycz
Engineering Applications of Artificial Intelligence 102, 104259, 2021
35 2021 An intelligent control strategy for iron ore sintering ignition process based on the prediction of ignition temperature S Du, M Wu, X Chen, W Cao
IEEE Transactions on Industrial Electronics 67 (2), 1233-1241, 2020
34 2020 Operating mode recognition of iron ore sintering process based on the clustering of time series data S Du, M Wu, L Chen, W Cao, W Pedrycz
Control Engineering Practice 96, 104297, 2020
26 2020 An operating performance assessment strategy with multiple modes based on least square support vector machines for drilling process H Fan, M Wu, W Cao, X Lai, L Chen, C Lu, S Du, J She
Computers & Industrial Engineering 159, 107492, 2021
22 2021 An intelligent decision-making strategy based on the forecast of abnormal operating mode for iron ore sintering process S Du, M Wu, L Chen, W Cao, W Pedrycz
Journal of Process Control 96, 57-66, 2020
21 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, 2020
21 2020 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
18 2020 Intelligent coordinating control between burn-through point and mixture bunker level in an iron ore sintering process S Du, M Wu, X Chen, X Lai, W Cao
Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2017
17 2017 Distributed monitoring with integrated probability PCA and mRMR for drilling processes H Fan, X Lai, S Du, W Yu, C Lu, M Wu
IEEE Transactions on Instrumentation and Measurement 71, 3516213, 2022
16 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, 2021
14 2021 Operating performance improvement based on prediction and grade assessment for sintering process S Du, M Wu, L Chen, L Jin, W Cao, W Pedrycz
IEEE Transactions on Cybernetics 52 (10), 10529-10541, 2022
13 2022 Information granulation with rectangular information granules and its application in time series similarity measurement S Du, M Wu, L Chen, W Cao, W Pedrycz
IEEE Transactions on Fuzzy Systems 30 (10), 4069-4081, 2022
11 2022 Adaptive monitoring for geological drilling process using neighborhood preserving embedding and Jensen–Shannon divergence H Fan, C Lu, X Lai, S Du, W Yu, M Wu
Control Engineering Practice 134, 105476, 2023
8 2023 Early warning of loss and kick for drilling process based on sparse autoencoder with multivariate time series Z Zhang, X Lai, S Du, W Yu, M Wu
IEEE Transactions on Industrial Informatics 19 (11), 11019-11029, 2023
7 2023 
Min WuProfessor, IEEE Fellow, China University of GeosciencesEmail verificata su cug.edu.cn
