| 1 |
Fault detection and pathway analysis using a dynamic Bayesian network
Amin MT, Khan F, Imtiaz S
Chemical Engineering Science, 195, 777, 2019 |
| 2 |
Hierarchical fault propagation and control modeling for the resilience analysis of process system
Cai ZS, Hu JQ, Zhang LB, Ma X
Chemical Engineering Research & Design, 103, 50, 2015 |
| 3 |
A Hierarchical Control Strategy With Fault Ride-Through Capability for Variable Frequency Transformer
Ambati BB, Kanjiya P, Khadkikar V, El Moursi MS, Kirtley JL
IEEE Transactions on Energy Conversion, 30(1), 132, 2015 |
| 4 |
Distributed fault diagnosis for process and sensor faults in a class of interconnected input-output nonlinear discrete-time systems
Keliris C, Polycarpou MM, Parisini T
International Journal of Control, 88(8), 1472, 2015 |
| 5 |
Fault propagation analysis of oscillations in control loops using data-driven causality and plant connectivity
Landman R, Kortela J, Sun Q, Jamsa-Jounela SL
Computers & Chemical Engineering, 71, 446, 2014 |
| 6 |
A novel dynamic bayesian network-based networked process monitoring approach for fault detection, propagation identification, and root cause diagnosis
Yu J, Rashid MM
AIChE Journal, 59(7), 2348, 2013 |
| 7 |
Source identification of plant-wide faults based on k nearest neighbor time delay estimation
Stockmann M, Haber R, Schmitz U
Journal of Process Control, 22(3), 583, 2012 |
| 8 |
An automaton-based approach to evaluate and improve online diagnosis schemes for multi-failure scenarios in batch chemical processes
Yeh ML, Chang CT
Chemical Engineering Research & Design, 89(12A), 2652, 2011 |
| 9 |
Improved qualitative fault propagation analysis
Gabbar HA
Journal of Loss Prevention in The Process Industries, 20(3), 260, 2007 |
| 10 |
Safety and reliability analysis in a polyvinyl chloride batch process using dynamic simulator-case study: Loss of containment incident
Rizal D, Tani S, Nishiyama K, Suzuki K
Journal of Hazardous Materials, 137(3), 1309, 2006 |
