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
116 2015 A process monitoring method based on noisy independent component analysis L Cai, X Tian, S Chen
Neurocomputing 127, 231-246, 2014
77 2014 Wide-Area Monitoring of Power Systems Using Principal Component Analysis and L Cai, NF Thornhill, S Kuenzel, BC Pal
IEEE Transactions on Power Systems 33 (5), 4913-4923, 2018
70 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
67 2014 Real-Time Detection of Power System Disturbances Based on L Cai, NF Thornhill, S Kuenzel, BC Pal
IEEE Access 5, 5631-5639, 2017
55 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
50 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
21 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
18 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
17 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 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
15 2015 Non-Gaussian process fault detection method based on modified KICA L Cai, X TIAN, N Zhang
CIESC Journal 63 (9), 2864, 2012
15 2012 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 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
10 2017 Non-linear process fault detection method based on RISOMAP [J] Z Ni, T Xuemin, C Lianfang
Journal of Chemical Industry Engineering 64 (06), 2125-2130, 2013
10 * 2013 A blind seismic deconvolution method based on Particle Swarm Optimization L Cai, X Tian
Progress in Geophysics 27 (3), 1116-1122, 2012
10 2012 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 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
7 2012 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 