| Moving window kernel PCA for adaptive monitoring of nonlinear processes X Liu, U Kruger, T Littler, L Xie, S Wang Chemometrics and intelligent laboratory systems 96 (2), 132-143, 2009 | 229 | 2009 |
| Statistical monitoring of complex multivatiate processes: with applications in industrial process control U Kruger, L Xie John Wiley & Sons, 2012 | 162 | 2012 |
| The current state of control loop performance monitoring–a survey of application in industry M Bauer, A Horch, L Xie, M Jelali, N Thornhill Journal of Process Control 38, 1-10, 2016 | 140 | 2016 |
| Statistical‐based monitoring of multivariate non‐Gaussian systems X Liu, L Xie, U Kruger, T Littler, S Wang AIChE journal 54 (9), 2379-2391, 2008 | 119 | 2008 |
| Detecting abnormal situations using the Kullback–Leibler divergence J Zeng, U Kruger, J Geluk, X Wang, L Xie Automatica 50 (11), 2777-2786, 2014 | 87 | 2014 |
| Fast multivariate empirical mode decomposition X Lang, Q Zheng, Z Zhang, S Lu, L Xie, A Horch, H Su IEEE Access 6, 65521-65538, 2018 | 66 | 2018 |
| Novel just-in-time learning-based soft sensor utilizing non-Gaussian information L Xie, J Zeng, C Gao IEEE Transactions on Control Systems Technology 22 (1), 360-368, 2013 | 64 | 2013 |
| Fault detection in non-Gaussian vibration systems using dynamic statistical-based approaches Z Ge, U Kruger, L Lamont, L Xie, Z Song Mechanical Systems and Signal Processing 24 (8), 2972-2984, 2010 | 59 | 2010 |
| Local ICA for multivariate statistical fault diagnosis in systems with unknown signal and error distributions Z Ge, L Xie, U Kruger, Z Song AIChE Journal 58 (8), 2357-2372, 2012 | 52 | 2012 |
| Multimode process monitoring with PCA mixture model X Xu, L Xie, S Wang Computers & Electrical Engineering 40 (7), 2101-2112, 2014 | 49 | 2014 |
| Fault detection in dynamic systems using the Kullback–Leibler divergence L Xie, J Zeng, U Kruger, X Wang, J Geluk Control Engineering Practice 43, 39-48, 2015 | 47 | 2015 |
| Structured joint sparse principal component analysis for fault detection and isolation Y Liu, J Zeng, L Xie, S Luo, H Su IEEE Transactions on Industrial Informatics 15 (5), 2721-2731, 2018 | 45 | 2018 |
| Shrinking principal component analysis for enhanced process monitoring and fault isolation L Xie, X Lin, J Zeng Industrial & Engineering Chemistry Research 52 (49), 17475-17486, 2013 | 42 | 2013 |
| An autonomous valve stiction detection system based on data characterization A Zakharov, E Zattoni, L Xie, OP Garcia, SL Jämsä-Jounela Control Engineering Practice 21 (11), 1507-1518, 2013 | 42 | 2013 |
| Inferential model for industrial polypropylene melt index prediction with embedded priori knowledge and delay estimation H Lou, H Su, L Xie, Y Gu, G Rong Industrial & engineering chemistry research 51 (25), 8510-8525, 2012 | 41 | 2012 |
| Adaptive KPCA modeling of nonlinear systems Z Li, U Kruger, L Xie, A Almansoori, H Su IEEE Transactions on Signal Processing 63 (9), 2364-2376, 2015 | 40 | 2015 |
| Sensor fault identification and isolation for multivariate non-Gaussian processes Z Ge, L Xie, U Kruger, L Lamont, Z Song, S Wang Journal of Process Control 19 (10), 1707-1715, 2009 | 39 | 2009 |
| Time-varying oscillation detector based on improved LMD and robust Lempel–Ziv complexity L Xie, X Lang, J Chen, A Horch, H Su Control Engineering Practice 51, 48-57, 2016 | 38 | 2016 |
| Multi-mode process monitoring method based on PCA mixture model X Xu, L Xie, S Wang Ciesc Journal 62 (3), 743-752, 2011 | 36 | 2011 |
| Block adaptive kernel principal component analysis for nonlinear process monitoring L Xie, Z Li, J Zeng, U Kruger AIChE Journal 62 (12), 4334-4345, 2016 | 35 | 2016 |
Uwe KrugerRensselaer Polytechnic InstituteVerified email at rpi.edu
