Abdelhamid IRATNI
Abdelhamid IRATNI
Other namesIRATNI Abdelhamid, A. Iratni
Electrical Engineering Department, Faculty of Science and Technology, University Mohamed El Bachir
Verified email at - Homepage
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Advances in control technologies for wastewater treatment processes: status, challenges, and perspectives
A Iratni, NB Chang
IEEE/CAA journal of automatica sinica 6 (2), 337-363, 2019
Gas turbine availability improvement based on long short-term memory networks using deep learning of their failures data analysis
AZ Djeddi, A Hafaifa, N Hadroug, A Iratni
Process Safety and Environmental Protection 159, 1-25, 2022
Fuzzy diagnostic strategy implementation for gas turbine vibrations faults detection: Towards a characterization of symptom–fault correlations
N Hadroug, A Hafaifa, B Alili, A Iratni, XQ Chen
Journal of Vibration Engineering & Technologies, 1-27, 2022
Robust diagnosis with high protection to gas turbine failures identification based on a fuzzy neuro inference monitoring approach
C Djeddi, A Hafaifa, A Iratni, N Hadroug, XQ Chen
Journal of Manufacturing Systems 59, 190-213, 2021
Robust intelligent fault diagnosis strategy using Kalman observers and neuro-fuzzy systems for a wind turbine benchmark
Z Zemali, L Cherroun, N Hadroug, A Hafaifa, A Iratni, OS Alshammari, ...
Renewable Energy 205, 873-898, 2023
On-line robust nonlinear state estimators for nonlinear bioprocess systems
A Iratni, R Katebi, M Mostefai
Communications in Nonlinear Science and Numerical Simulation 17 (4), 1739-1752, 2012
A new classification scheme based on extended Kalman filter and support vector machine
Y Simhamed, F Ykhlef, A Iratni
Electric Power Systems Research 210, 108153, 2022
Model variables identification of a gas turbine using a subspace approach based on input/output data measurements
H Bagua, A Hafaifa, A Iratni, M Guemana
Control Theory and Technology 19, 183-196, 2021
Fuzzy decoupled-states multi-model identification of gas turbine operating variables through the use of their operating data
S Aissat, A Hafaifa, A Iratni, N Hadroug, XQ Chen
ISA transactions 133, 384-396, 2023
Power Quality Enhancement in Four-Wire Systems under different distributed Energy Resource Penetrations
M Elbar, I Merzouk, A Bealdel, MM Rezaoui, A Iratni, A Hafaifa
Electrotehnica, Electronica, Automatica 69 (4), 50-58, 2021
A novel frequency tracker for sinusoidal signal based on state dependent Riccati equation filter
Y Simhamed, F Ykhlef, A Iratni
Measurement 183, 109845, 2021
Reliability modeling using an adaptive neuro-fuzzy inference system: Gas turbine application
N Hadroug, A Hafaifa, A Iratni, M Guemana
Fuzzy Information and Engineering 13 (2), 154-183, 2021
Exploitation of multi-models identification with decoupled states in twin shaft gas turbine variables for its diagnosis based on parity space approach
S Aissat, A Hafaifa, A Iratni, M Guemana, XQ Chen
International Journal of Dynamics and Control 10 (1), 25-48, 2022
Gas turbine reliability estimation to reduce the risk of failure occurrence with a comparative study between the two-parameter Weibull distribution and a new modified Weibull …
AZ Djeddi, A Hafaifa, A Iratni, A Kouzou
Diagnostyka 23, 2022
Non-linear state dependent differential Riccati states filter for wastewater treatment process
A Iratni, R Katebi, M Mostefai
Studies in Informatics and Control 20 (3), 247-254, 2011
Gas turbine speed monitoring using a generalized predictive adaptive control algorithm
M Alaoui, OS Alshammari, A Iratni, A Hafaifa, H Jerbi
Studies in Informatics and Control 31 (3), 87-96, 2022
On estimation of unknown state variables in wastewater systems
A Iratni, R Katebi, R Vilanova, M Mostefai
2009 IEEE Conference on Emerging Technologies & Factory Automation, 1-6, 2009
Energy efficiency improvement in photovoltaic installation using a twin-axis solar tracking mechanism with LDR sensors compared with neuro-fuzzy adaptive inference structure
N Hadroug, A Iratni, A Hafaifa, A Boudjemline, OS Alshammari, H Jerbi, ...
Journal of Electrical Engineering & Technology 18 (4), 2943-2967, 2023
Gas turbine vibration detection and identification based on dynamic artificial neural networks
MB Rahmoune, A Íratni, A Hafaifa, I Colak
Electrotehnica, Electronica, Automatica 71 (2), 19-27, 2023
Evaluation of Reliability Indices for Gas Turbines Based on the Johnson SB Distribution: Towards Practical Development
E Mohamed, D Ahmed Zohair, A Hafaifa, C Naas, A Iratni
Emirates Journal for Engineering Research 28 (2), 5, 2023
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