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 | 39 | 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 | 35 | 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 prediction model based on labeled and unlabeled process data for sintering process 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 |