Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Olteanu, S. C.
Aitouche, A.
Oueidat, M.
and
Jouni, A.
2012.
PEM fuel cell modeling and simulation via the Takagi-Sugeno Fuzzy model.
p.
1.
Al-Sheikh, Hiba
and
Moubayed, Nazih
2012.
Fault detection and diagnosis of renewable energy systems: An overview.
p.
1.
Olteanu, S. C.
Aitouche, A.
Oueidat, M.
and
Jouni, A.
2012.
Fuel cell diagnosis using Takagi-Sugeno observer approach.
p.
1.
Petrone, R.
Zheng, Z.
Hissel, D.
Péra, M.C.
Pianese, C.
Sorrentino, M.
Becherif, M.
and
Yousfi-Steiner, N.
2013.
A review on model-based diagnosis methodologies for PEMFCs.
International Journal of Hydrogen Energy,
Vol. 38,
Issue. 17,
p.
7077.
Ould-Bouamama, B.
Chatti, N.
and
Gehin, A. L.
2014.
ICREGA’14 - Renewable Energy: Generation and Applications.
p.
73.
Rotondo, Damiano
Puig, Vicenç
and
Nejjari, Fatiha
2014.
Information Processing and Management of Uncertainty in Knowledge-Based Systems.
Vol. 444,
Issue. ,
p.
518.
Cadet, C.
Jemeï, S.
Druart, F.
and
Hissel, D.
2014.
Diagnostic tools for PEMFCs: from conception to implementation.
International Journal of Hydrogen Energy,
Vol. 39,
Issue. 20,
p.
10613.
Hamaz, T.
Cadet, C.
Druart, F.
and
Cauffet, G.
2014.
Diagnosis of PEM fuel cell stack based on magnetic fields measurements.
IFAC Proceedings Volumes,
Vol. 47,
Issue. 3,
p.
11482.
Escobet, Antoni
Nebot, Àngela
and
Mugica, Francisco
2014.
PEM fuel cell fault diagnosis via a hybrid methodology based on fuzzy and pattern recognition techniques.
Engineering Applications of Artificial Intelligence,
Vol. 36,
Issue. ,
p.
40.
Vijayaraghavan, Krishna
DeVaal, Jake
and
Narimani, Mohammad
2015.
Dynamic model of oxygen starved proton exchange membrane fuel-cell using hybrid analytical-numerical method.
Journal of Power Sources,
Vol. 285,
Issue. ,
p.
291.
Barzegari, Mohammad M.
Dardel, Morteza
Alizadeh, Ebrahim
and
Ramiar, Abas
2016.
Dynamic modeling and validation studies of dead-end cascade H2/O2 PEM fuel cell stack with integrated humidifier and separator.
Applied Energy,
Vol. 177,
Issue. ,
p.
298.
Olteanu, Severus
Aitouche, Abdel
and
Belkoura, Lotfi
2016.
Contribution to state and sensor fault estimation applied to PEM Fuel Cell Systems.
p.
217.
Bouaicha, Arafet
Allagui, Hatem
Mami, Abdelkader
Aglzim, El-Hassane
and
Rouane, Amar
2017.
Parameters identification of the complex impedance model of the PEM fuel cell using Matlab/Simulink.
p.
1.
Amrane, A.
Larabi, A.
and
Aitouche, A.
2017.
Fault detection and isolation based on nonlinear analytical redundancy applied to an induction machine.
p.
255.
Keller, R.
Ding, S.X.
Müller, M.
and
Stolten, D.
2017.
Fault-tolerant model predictive control of a direct methanol-fuel cell system with actuator faults.
Control Engineering Practice,
Vol. 66,
Issue. ,
p.
99.
Kamal, Elkhatib
and
Aitouche, Abdel
2020.
Fuzzy observer-based fault tolerant control against sensor faults for proton exchange membrane fuel cells.
International Journal of Hydrogen Energy,
Vol. 45,
Issue. 19,
p.
11220.
Shang, Zhiyu
Li, Xin
and
Peng, Fei
2020.
A Random Matrix Theory Based Systematic Condition Assessment Method for Integrated Highpower PEMFC System.
p.
1608.
Bougatef, Z.
Abdelkrim, N.
Aitouche, A.
and
Abdelkrim, M.N.
2020.
Fault detection of a PEMFC system based on delayed LPV observer.
International Journal of Hydrogen Energy,
Vol. 45,
Issue. 19,
p.
11233.
Li, Shanzhi
Aitouche, Abdel
Wang, Haoping
and
Christov, Nicolai
2020.
Sensor fault estimation of PEM fuel cells using Takagi Sugeno fuzzy model.
International Journal of Hydrogen Energy,
Vol. 45,
Issue. 19,
p.
11267.
Chen, Yusheng
Lin, Meng
Yu, Ren
Wang, Tianshu
and
Serikov, Arkady
2021.
Research on Simulation and State Prediction of Nuclear Power System Based on LSTM Neural Network.
Science and Technology of Nuclear Installations,
Vol. 2021,
Issue. ,
p.
1.