| 1 |
Data-driven fault detection for chemical processes using autoencoder with data augmentation
Lee HD, Kim CS, Jeong DH, Lee JM
Korean Journal of Chemical Engineering, 38(12), 2406, 2021 |
| 2 |
Data-driven fault diagnosis in SOFC-based power plants under off-design operating conditions
Costamagna P, De Giorgi A, Moser G, Pellaco L, Trucco A
International Journal of Hydrogen Energy, 44(54), 29002, 2019 |
| 3 |
Reliability improvement of wind turbine power generation using model-based fault detection and fault tolerant control: A review
Habibi N, Howard I, Simani S
Renewable Energy, 135, 877, 2019 |
| 4 |
Detection, isolation and diagnosability analysis of intermittent faults in stochastic systems
Yan RY, He X, Wang ZD, Zhou DH
International Journal of Control, 91(2), 480, 2018 |
| 5 |
Sensor fault detection and isolation of an industrial gas turbine using partial adaptive KPCA
Navi M, Meskin N, Davoodi M
Journal of Process Control, 64, 37, 2018 |
| 6 |
A polytopic LPV approach to active fault tolerant control system design for three-phase induction motors
Rezaei H, Khosrowjerdi MJ
International Journal of Control, 90(10), 2297, 2017 |
| 7 |
A Tractable Fault Detection and Isolation Approach for Nonlinear Systems With Probabilistic Performance
Esfahani PM, Lygeros J
IEEE Transactions on Automatic Control, 61(3), 633, 2016 |
| 8 |
A Classification Approach for Model-Based Fault Diagnosis in Power Generation Systems Based on Solid Oxide Fuel Cells
Costamagna P, De Giorgi A, Magistri L, Moser G, Pellaco L, Trucco A
IEEE Transactions on Energy Conversion, 31(2), 683, 2016 |
| 9 |
Pipeline leakage detection and isolation: An integrated approach of statistical and wavelet feature extraction with multi-layer perceptron neural network (MLPNN)
Zadkarami M, Shahbazian M, Salahshoor K
Journal of Loss Prevention in The Process Industries, 43, 479, 2016 |
| 10 |
Data-driven fault detection and isolation scheme for a wind turbine benchmark
de Bessa IV, Palhares RM, D'Angelo MFSV, Chaves JE
Renewable Energy, 87, 634, 2016 |
