| 1 |
FAULT PROGNOSIS TECHNOLOGY FOR NON-GAUSSIAN AND NONLINEAR PROCESSES BASED ON KICA RECONSTRUCTION
Ma J, Li G, Zhou DH
Canadian Journal of Chemical Engineering, 96(2), 515, 2018 |
| 2 |
Verification of Prognosability for Labeled Petri Nets
Yin X
IEEE Transactions on Automatic Control, 63(6), 1828, 2018 |
| 3 |
Fault prognosis of timed stochastic discrete event systems with bounded estimation error
Ammour R, Leclercq E, Sanlaville E, Lefebvre D
Automatica, 82, 35, 2017 |
| 4 |
Lebesgue approximation model of continuous-time nonlinear dynamic systems
Wang XF, Zhang B
Automatica, 64, 234, 2016 |
| 5 |
Model-based fault detection, estimation, and prediction for a class of linear distributed parameter systems
Cai J, Ferdowsi H, Sarangapani J
Automatica, 66, 122, 2016 |
| 6 |
Decentralized fault prognosis of discrete event systems with guaranteed performance bound
Yin X, Li ZJ
Automatica, 69, 375, 2016 |
| 7 |
Multivariate time delay analysis based local KPCA fault prognosis approach for nonlinear processes
Xu Y, Liu Y, Zhu QX
Chinese Journal of Chemical Engineering, 24(10), 1413, 2016 |
| 8 |
Fault prognosis for batch production based on percentile measure and gamma process: Application to semiconductor manufacturing
Nguyen TBL, Djeziri M, Ananou B, Ouladsine M, Pinaton J
Journal of Process Control, 48, 72, 2016 |
| 9 |
Online fault prognosis with relative deviation analysis and vector autoregressive modeling
Zhao CH, Gao FR
Chemical Engineering Science, 138, 531, 2015 |
