| Data-driven fault diagnosis using deep canonical variate analysis and Fisher discriminant analysis P Wu, S Lou, X Zhang, J He, Y Liu, J Gao IEEE Transactions on Industrial Informatics 17 (5), 3324-3334, 2020 | 44 | 2020 |
| Data-driven incipient fault detection via canonical variate dissimilarity and mixed kernel principal component analysis P Wu, RMG Ferrari, Y Liu, JW Van Wingerden IEEE transactions on industrial informatics 17 (8), 5380-5390, 2020 | 42 | 2020 |
| A multi-feature extraction technique based on principal component analysis for nonlinear dynamic process monitoring L Guo, P Wu, S Lou, J Gao, Y Liu Journal of Process Control 85, 159-172, 2020 | 37 | 2020 |
| Fault diagnosis of the 10MW Floating Offshore Wind Turbine Benchmark: A mixed model and signal-based approach Y Liu, R Ferrari, P Wu, X Jiang, S Li, JW van Wingerden Renewable Energy 164, 391-406, 2021 | 34 | 2021 |
| Identification and control of blast furnace gas top pressure recovery turbine unit P Wu, CJ Yang ISIJ international 52 (1), 96-100, 2012 | 27 | 2012 |
| Bearing fault diagnosis via improved one-dimensional multi-scale dilated CNN J He, P Wu, Y Tong, X Zhang, M Lei, J Gao Sensors 21 (21), 7319, 2021 | 23 | 2021 |
| Locality preserving randomized canonical correlation analysis for real-time nonlinear process monitoring P Wu, X Zhang, J He, S Lou, J Gao Process Safety and Environmental Protection 147, 1088-1100, 2021 | 23 | 2021 |
| Bearing fault diagnosis by combining a deep residual shrinkage network and bidirectional LSTM Y Tong, P Wu, J He, X Zhang, X Zhao Measurement Science and Technology 33 (3), 034001, 2021 | 18 | 2021 |
| Data driven model mismatch detection based on statistical band of Markov parameters F Yin, H Wang, L Xie, P Wu, Z Song Computers & Electrical Engineering 40 (7), 2178-2192, 2014 | 17 | 2014 |
| 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 | 16 | 2022 |
| Recursive subspace model identification based on vector autoregressive modelling P Wu, CJ Yang, ZH Song IFAC Proceedings Volumes 41 (2), 8872-8877, 2008 | 15 | 2008 |
| Novel quality-relevant process monitoring based on dynamic locally linear embedding concurrent canonical correlation analysis P Wu, S Lou, X Zhang, J He, J Gao Industrial & Engineering Chemistry Research 59 (49), 21439-21457, 2020 | 14 | 2020 |
| Fault‐tolerant individual pitch control of floating offshore wind turbines via subspace predictive repetitive control Y Liu, J Frederik, RMG Ferrari, P Wu, S Li, JW van Wingerden Wind Energy 24 (9), 1045-1065, 2021 | 13 | 2021 |
| Local and global randomized principal component analysis for nonlinear process monitoring P Wu, L Guo, S Lou, J Gao IEEE Access 7, 25547-25562, 2019 | 13 | 2019 |
| Active surge control for variable speed axial compressors S Lin, C Yang, P Wu, Z Song ISA transactions 53 (5), 1389-1395, 2014 | 13 | 2014 |
| Sparse kernel principal component analysis via sequential approach for nonlinear process monitoring L Guo, P Wu, J Gao, S Lou IEEE Access 7, 47550-47563, 2019 | 12 | 2019 |
| A local dynamic broad kernel stationary subspace analysis for monitoring blast furnace ironmaking process S Lou, C Yang, P Wu IEEE Transactions on Industrial Informatics 19 (4), 5945-5955, 2022 | 11 | 2022 |
| A new subspace identification approach based on principal component analysis and noise estimation P Wu, HP Pan, J Ren, C Yang Industrial & Engineering Chemistry Research 54 (18), 5106-5114, 2015 | 11 | 2015 |
| Performance monitoring of MIMO control system using Kullback‐Leibler divergence P Wu The Canadian Journal of Chemical Engineering 96 (7), 1559-1565, 2018 | 10 | 2018 |
| Fuzzy logic surge control in variable speed axial compressors S Lin, C Yang, P Wu, Z Song 2013 10th IEEE International Conference on Control and Automation (ICCA …, 2013 | 10 | 2013 |
Song ZhihuanProfessor of Control Science & Engineering, Zhejiang UniversityVerified email at zju.edu.cn
