| Monitoring nonlinear and non-Gaussian processes using Gaussian mixture model-based weighted kernel independent component analysis L Cai, X Tian, S Chen IEEE transactions on neural networks and learning systems 28 (1), 122-135, 2015 | 113 | 2015 |
| A process monitoring method based on noisy independent component analysis L Cai, X Tian, S Chen Neurocomputing 127, 231-246, 2014 | 76 | 2014 |
| Wide-Area Monitoring of Power Systems Using Principal Component Analysis and -Nearest Neighbor Analysis L Cai, NF Thornhill, S Kuenzel, BC Pal IEEE Transactions on Power Systems 33 (5), 4913-4923, 2018 | 69 | 2018 |
| A new fault detection method for non-Gaussian process based on robust independent component analysis L Cai, X Tian Process Safety and Environmental Protection 92 (6), 645-658, 2014 | 66 | 2014 |
| Real-Time Detection of Power System Disturbances Based on -Nearest Neighbor Analysis L Cai, NF Thornhill, S Kuenzel, BC Pal IEEE Access 5, 5631-5639, 2017 | 54 | 2017 |
| Process fault detection based on dynamic kernel slow feature analysis N Zhang, X Tian, L Cai, X Deng Computers & Electrical Engineering 41, 9-17, 2015 | 48 | 2015 |
| Noise-resistant joint diagonalization independent component analysis based process fault detection X Tian, L Cai, S Chen Neurocomputing 149, 652-666, 2015 | 28 | 2015 |
| Nonlinear process fault diagnosis using kernel slow feature discriminant analysis H Zhang, X Tian, L Cai IFAC-PapersOnLine 48 (21), 607-612, 2015 | 20 | 2015 |
| Multivariate detection of power system disturbances based on fourth order moment and singular value decomposition L Cai, NF Thornhill, BC Pal IEEE Transactions on Power Systems 32 (6), 4289-4297, 2017 | 19 | 2017 |
| A kernel time structure independent component analysis method for nonlinear process monitoring L Cai, X Tian, N Zhang Chinese Journal of Chemical Engineering 22 (11-12), 1243-1253, 2014 | 16 | 2014 |
| A local and global statistics pattern analysis method and its application to process fault identification H Zhang, X Tian, X Deng, L Cai Chinese Journal of Chemical Engineering 23 (11), 1782-1792, 2015 | 15 | 2015 |
| Non-Gaussian process fault detection method based on modified KICA CAI Lianfang, T Xuemin, Z Ni CIESC Journal 63 (9), 2864, 2012 | 15 | 2012 |
| A new process monitoring method based on noisy time structure independent component analysis L Cai, X Tian Chinese Journal of Chemical Engineering 23 (1), 162-172, 2015 | 14 | 2015 |
| A test model of a power grid with battery energy storage and wide-area monitoring L Cai, NF Thornhill, S Kuenzel, BC Pal IEEE Transactions on Power Systems 34 (1), 380-390, 2018 | 11 | 2018 |
| A blind seismic deconvolution method based on Particle Swarm Optimization L Cai, X Tian Progress in Geophysics 27 (3), 1116-1122, 2012 | 10 | 2012 |
| A multi-index control performance assessment method based on historical prediction error covariance L Shang, X Tian, L Cai IFAC-PapersOnLine 50 (1), 13892-13897, 2017 | 9 | 2017 |
| Non-linear process fault detection method based on RISOMAP Z Ni, T Xuemin, C Lianfang CIESC Journal 64 (6), 2125, 2013 | 9 | 2013 |
| Process fault detection method based on time structure independent component analysis and one-class support vector machine L Cai, X Tian, H Zhang IFAC-PapersOnLine 48 (21), 1198-1203, 2015 | 8 | 2015 |
| Nonlinear dynamic fault dignosis method based on dautoencoder N Zhang, XM Tian, LF Cai 2013 Fifth International Conference on Measuring Technology and Mechatronics …, 2013 | 6 | 2013 |
| Process fault detection method using time-structure KICA and OCSVM L Cai, X Tian, N Zhang Journal of Tsinghua University Science and Technology 52 (9), 2012 | 6 | 2012 |
