Fengqi Si
According to our database1,
Fengqi Si
authored at least 15 papers
between 2009 and 2024.
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Bibliography
2024
Transfer learning-based multi-fidelity modeling method for multimode process monitoring.
Proceedings of the 4th IEEE International Conference on Digital Twins and Parallel Intelligence, 2024
A hybrid modeling approach integrating first-principles with data for nonlinear process monitoring.
Proceedings of the 4th IEEE International Conference on Digital Twins and Parallel Intelligence, 2024
2023
Nonlinear process monitoring based on generic reconstruction-based auto-associative neural network.
J. Frankl. Inst., 2023
2022
Dynamic Probabilistic Predictable Feature Analysis for Multivariate Temporal Process Monitoring.
IEEE Trans. Control. Syst. Technol., 2022
2021
An agile and intelligent dynamic economic emission dispatcher based on multi-objective proximal policy optimization.
Appl. Soft Comput., 2021
A Novel Multi-Mode Bayesian Method for the Process Monitoring and Fault Diagnosis of Coal Mills.
IEEE Access, 2021
2020
Predictive scheduling of wet flue gas desulfurization system based on reinforcement learning.
Comput. Chem. Eng., 2020
2017
Soft Comput., 2017
2016
Monitoring method of slurry quality in wet flue gas desulfurization system based on fuzzy C-means clustering.
Proceedings of the 3rd International Conference on Systems and Informatics, 2016
2013
Proceedings of the Ninth International Conference on Natural Computation, 2013
Fault diagnosis of slurry pH data base on autoregressive integrated moving average and least squares support vector machines.
Proceedings of the Ninth International Conference on Natural Computation, 2013
Nitrogen oxide emission modeling for boiler combustion using accurate online support vector regression.
Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013
Proceedings of the IEEE 11th International Conference on Dependable, 2013
2010
Integrated Real-time Optimization of Boiler and Post-combustion System in Coal-based Power Plants via Extremum Seeking.
Proceedings of the IEEE International Conference on Control Applications, 2010
2009
A new approach for function approximation in boiler combustion optimization based on modified structural AOSVR.
Expert Syst. Appl., 2009