1 |
Hidden Markov model based principal component analysis for intelligent fault diagnosis of wind energy converter systems Kouadri A, Hajji M, Harkat MF, Abodayeh K, Mansouri M, Nounou H, Nounou M Renewable Energy, 150, 598, 2020 |
2 |
Datation of Faults for Markovian Stochastic DESs Ammour R, Leclercq E, Sanlaville E, Lefebvre D IEEE Transactions on Automatic Control, 64(7), 2961, 2019 |
3 |
Fault-tolerant cooperative control in an offshore wind farm using model-free and model-based fault detection and diagnosis approaches Badihi H, Zhang YM, Hong H Applied Energy, 201, 284, 2017 |
4 |
Fault, detection and diagnosis for building cooling system with a tree-structured learning method Li D, Zhou YX, Hu GQ, Spanos CJ Energy and Buildings, 127, 540, 2016 |
5 |
A data-driven strategy for detection and diagnosis of building chiller faults using linear discriminant analysis Li D, Hu GQ, Spanos CJ Energy and Buildings, 128, 519, 2016 |
6 |
Lab test of three fault detection and diagnostic methods' capability of diagnosing multiple simultaneous faults in chillers Zhao XZ Energy and Buildings, 94, 43, 2015 |