| 1 |
On reliability challenges of repairable systems using hierarchical bayesian inference and maximum likelihood estimation
BahooToroody A, Abaei MM, Arzaghi E, Song GZ, De Carlo F, Paltrinieri N, Abbassi R
Process Safety and Environmental Protection, 135, 157, 2020 |
| 2 |
Reliability assessment of multi-state reconfiguration pipeline system with failure interaction based on Cloud inference
Wang YH, Hou XQ, Zhang P, Qin GJ
Process Safety and Environmental Protection, 137, 116, 2020 |
| 3 |
Parallel chance-constrained dynamic programming for cascade hydropower system operation
Liu BX, Cheng CT, Wang S, Liao SL, Chau KW, Wu XY, Li WD
Energy, 165, 752, 2018 |
| 4 |
Robust prognosability for a set of partially observed discrete event systems
Takai S
Automatica, 51, 123, 2015 |
| 5 |
Diagnosability of discrete event systems subject to permanent sensor failures
Kanagawa N, Takai S
International Journal of Control, 88(12), 2598, 2015 |
| 6 |
Synthesis of 4-Chloro-3-nitrobenzotrifluoride: Industrial thermal runaway simulation due to cooling system failure
Copelli S, Derudi M, Cattaneo CS, Nano G, Raboni M, Torretta V, Rota R
Process Safety and Environmental Protection, 92(6), 659, 2014 |
| 7 |
A novel failure mode analysis model for gathering system based on Multilevel Flow Modeling and HAZOP
Wu J, Zhang LB, Liang W, Hu JQ
Process Safety and Environmental Protection, 91(1-2), 54, 2013 |
| 8 |
Optimal hybrid fault recovery in a team of unmanned aerial vehicles
Tousi MM, Khorasani K
Automatica, 48(2), 410, 2012 |
| 9 |
Verification of robust diagnosability for partially observed discrete event systems
Takai S
Automatica, 48(8), 1913, 2012 |
| 10 |
A polynomial algorithm for testing diagnosability of discrete-event systems
Jiang SB, Huang ZD, Chandra V, Kumar R
IEEE Transactions on Automatic Control, 46(8), 1318, 2001 |
