| 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 |
| Fault detection with improved principal component pursuit method Y Pan, C Yang, R An, Y Sun Chemometrics and Intelligent Laboratory Systems 157, 111-119, 2016 | 28 | 2016 |
| Unsupervised fault detection with a decision fusion method based on Bayesian in the pumping unit Y Pan, R An, D Fu, Z Zheng, Z Yang IEEE Sensors Journal 21 (19), 21829-21838, 2021 | 20 | 2021 |
| Comparison of different optimization methods with support vecto machine for blast furnace multi-fault classification RAC Yang, Z Zhou, L Wang, Y Pan IFAC-PapersOnLine 48 (21), 1204-1209, 2015 | 19 | 2015 |
| Unsupervised change point detection using a weight graph method for process monitoring R An, C Yang, Y Pan Industrial & Engineering Chemistry Research 58 (4), 1624-1634, 2019 | 11 | 2019 |
| Graph-based method for fault detection in the iron-making process R An, C Yang, Y Pan IEEE Access 8, 40171-40179, 2020 | 10 | 2020 |
| Fault detection with principal component pursuit method Y Pan, C Yang, Y Sun, R An, L Wang Journal of Physics: Conference Series 659 (1), 012035, 2015 | 10 | 2015 |
| Process monitoring based on principal component pursuit YJ Pan, CJ Yang, YX Sun Journal of Central South University 48 (1), 127-133, 2017 | 2 | 2017 |
| Switched Fault Diagnosis Approach for Industrial Processes based on Hidden Markov Model L Wang, C Yang, Y Sun, Y Pan, R An Journal of Physics: Conference Series 659 (1), 012047, 2015 | 1 | 2015 |
Zhe Zhou（周哲）Huzhou UniversityBestätigte E-Mail-Adresse bei zjhu.edu.cn