| Improved kernel PCA-based monitoring approach for nonlinear processes Z Ge, C Yang, Z Song Chemical Engineering Science 64 (9), 2245-2255, 2009 | 238 | 2009 |
| Fault Isolation Based on k-Nearest Neighbor Rule for Industrial Processes Z Zhou, C Wen, C Yang IEEE Transactions on Industrial Electronics 63 (4), 2578-2586, 2016 | 140 | 2016 |
| Fault detection using random projections and k-nearest neighbor rule for semiconductor manufacturing processes Z Zhou, C Wen, C Yang IEEE Transactions on Semiconductor Manufacturing 28 (1), 70-79, 2014 | 108 | 2014 |
| Hybrid-model-based intelligent optimization of ironmaking process H Zhou, H Zhang, C Yang IEEE Transactions on Industrial Electronics 67 (3), 2469-2479, 2019 | 97 | 2019 |
| Data‐driven modelling methods in sintering process: Current research status and perspectives F Yan, X Zhang, C Yang, B Hu, W Qian, Z Song The Canadian Journal of Chemical Engineering 101 (8), 4506-4522, 2023 | 62 | 2023 |
| Robust online monitoring for multimode processes based on nonlinear external analysis Z Ge, C Yang, Z Song, H Wang Industrial & engineering chemistry research 47 (14), 4775-4783, 2008 | 57 | 2008 |
| DSTED: A denoising spatial–temporal encoder–decoder framework for multistep prediction of burn-through point in sintering process F Yan, C Yang, X Zhang IEEE Transactions on Industrial Electronics 69 (10), 10735-10744, 2022 | 49 | 2022 |
| Dynamic time features expanding and extracting method for prediction model of sintering process quality index Y Li, C Yang, Y Sun IEEE Transactions on Industrial Informatics 18 (3), 1737-1745, 2021 | 48 | 2021 |
| Effective variable selection and moving window HMM-based approach for iron-making process monitoring L Wang, C Yang, Y Sun, H Zhang, M Li Journal of process control 68, 86-95, 2018 | 46 | 2018 |
| Robust principal component pursuit for fault detection in a blast furnace process Y Pan, C Yang, R An, Y Sun Industrial & Engineering Chemistry Research 57 (1), 283-291, 2018 | 43 | 2018 |
| Forecasting of iron ore sintering quality index: A latent variable method with deep inner structure C Yang, C Yang, J Li, Y Li, F Yan Computers in Industry 141, 103713, 2022 | 38 | 2022 |
| Nonstationary process monitoring for blast furnaces based on consistent trend feature analysis H Zhang, J Shang, J Zhang, C Yang IEEE Transactions on Control Systems Technology 30 (3), 1257-1267, 2021 | 37 | 2021 |
| Fault diagnosis of blast furnace iron-making process with a novel deep stationary kernel learning support vector machine approach S Lou, C Yang, P Wu, L Kong, Y Xu IEEE Transactions on Instrumentation and Measurement 71, 1-13, 2022 | 35 | 2022 |
| Multimode process monitoring approach based on moving window hidden Markov model L Wang, C Yang, Y Sun Industrial & Engineering Chemistry Research 57 (1), 292-301, 2018 | 35 | 2018 |
| Intelligent ironmaking optimization service on a cloud computing platform by digital twin H Zhou, C Yang, Y Sun Engineering 7 (9), 1274-1281, 2021 | 34 | 2021 |
| Data-driven soft sensors in blast furnace ironmaking: a survey Y Luo, X Zhang, M Kano, L Deng, C Yang, Z Song Frontiers of Information Technology & Electronic Engineering 24 (3), 327-354, 2023 | 33 | 2023 |
| Stochastic process-based degradation modeling and RUL prediction: from Brownian motion to fractional Brownian motion H Zhang, M Chen, J Shang, C Yang, Y Sun Science China Information Sciences 64 (7), 171201, 2021 | 33 | 2021 |
| Domain knowledge based explainable feature construction method and its application in ironmaking process Y Li, C Yang Engineering Applications of Artificial Intelligence 100, 104197, 2021 | 33 | 2021 |
| A collaborative optimization strategy for energy reduction in ironmaking digital twin H Zhou, C Yang, Y Sun IEEE Access 8, 177570-177579, 2020 | 29 | 2020 |
| Identification and control of blast furnace gas top pressure recovery turbine unit P Wu, CJ Yang ISIJ international 52 (1), 96-100, 2012 | 29 | 2012 |
Feng YanZhejiang UniversityOverená e-mailová adresa na: zju.edu.cn