| 1 |
Parity space-based fault detection for linear discrete time-varying systems with unknown input
Zhong MY, Song Y, Ding SX
Automatica, 59, 120, 2015 |
| 2 |
Data-driven design of monitoring and diagnosis systems for dynamic processes: A review of subspace technique based schemes and some recent results
Ding SX
Journal of Process Control, 24(2), 431, 2014 |
| 3 |
Subspace aided data-driven design of robust fault detection and isolation systems
Wang YL, Ma GF, Ding SX, Li CJ
Automatica, 47(11), 2474, 2011 |
| 4 |
Parity Space-Based Fault Estimation for Linear Discrete Time-Varying Systems
Zhong MY, Ding SX, Han QL, Ding QA
IEEE Transactions on Automatic Control, 55(7), 1726, 2010 |
| 5 |
Fault detection of networked control systems with limited communication
Wang YQ, Ye H, Ding SX, Cheng Y, Zhang P, Wang GZ
International Journal of Control, 82(7), 1344, 2009 |
| 6 |
Subspace method aided data-driven design of fault detection and isolation systems
Ding SX, Zhang P, Naik A, Ding EL, Huang B
Journal of Process Control, 19(9), 1496, 2009 |
| 7 |
Disturbance decoupling in fault detection of linear periodic systems
Zhang P, Ding SX
Automatica, 43(8), 1410, 2007 |
| 8 |
Synchronized node imbalances for fault detection and isolation in plant networks involving material circulation
Berton A, Hodouin D
Computers & Chemical Engineering, 31(7), 815, 2007 |
| 9 |
Closed-loop subspace identification using the parity space
Wang J, Qin SJ
Automatica, 42(2), 315, 2006 |
| 10 |
Optimal statistical fault detection with nuisance parameters
Fouladirad M, Nikiforov I
Automatica, 41(7), 1157, 2005 |
