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Ilyes Khelf
Ilyes Khelf
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Title
Cited by
Cited by
Year
Improved decision tree construction based on attribute selection and data sampling for fault diagnosis in rotating machines
NEI Karabadji, H Seridi, I Khelf, N Azizi, R Boulkroune
Engineering Applications of Artificial Intelligence 35, 71-83, 2014
502014
Adaptive fault diagnosis in rotating machines using indicators selection
I Khelf, L Laouar, AM Bouchelaghem, D Rémond, S Saad
Mechanical Systems and Signal Processing 40 (2), 452-468, 2013
312013
Angular modeling of a rotating machine in non-stationary conditions: Application to monitoring bearing defects of wind turbines with instantaneous angular speed
JL Gomez, I Khelf, A Bourdon, H André, D Rémond
Mechanism and Machine Theory 136, 27-51, 2019
292019
A data sampling and attribute selection strategy for improving decision tree construction
NEI Karabadji, I Khelf, H Seridi, S Aridhi, D Remond, W Dhifli
Expert Systems with Applications 129, 84-96, 2019
192019
Genetic optimization of decision tree choice for fault diagnosis in an industrial ventilator
NEI Karabadji, I Khelf, H Seridi, L Laouar
Condition monitoring of machinery in non-stationary operations, 277-283, 2012
172012
Decision tree selection in an industrial machine fault diagnostics
NEI Karabadji, H Seridi, I Khelf, L Laouar
International Conference on Model and Data Engineering, 129-140, 2012
162012
Diagnostic des machines tournantes par les techniques de l’intelligence artificielle
I Khelf
Thèse de doctorat, Université Badj Mokhtar-Annaba, 2013
112013
Harmonic product spectrum revisited and adapted for rotating machine monitoring based on IAS
QLH Andre, I Khelf, Q Leclere
Surveillance 9, 2017
62017
Combining RBF-PCA-ReliefF filter for a better diagnosis performance in rotating machines
I Khelf, L Laouar, H Bendjama, AM Bouchelaghem
Condition Monitoring of Machinery in Non-Stationary Operations, 285-292, 2012
42012
Improving the monitoring indicators of a variable speed wind turbine using support vector regression
H André, F Allemand, I Khelf, A Bourdon, D Rémond
Applied Acoustics 166, 107350, 2020
32020
Wind turbine bearing fault detected with IAS combined with harmonic product spectrum
A Hugo, K Ilyes, Q Leclere
COMADEM 2017, 2017
32017
Hybrid scheme for wind turbine condition monitoring based on instantaneous angular speed and pattern recognition
I Khelf, JL Gomez, A Bourdon, H Andre, D Remond
International Conference on Condition Monitoring of Machinery in Non …, 2016
32016
Simplified dynamic model of a wind turbine shaft line operating in non-stationary conditions applied to the analysis of IAS as a machinery surveillance tool
JL Gomez, I Khelf, A Bourdon, H André, D Rémond
International Conference on Condition Monitoring of Machinery in Non …, 2016
32016
Amélioration du diagnostic d'une machine tournante par la sélection du vecteur d'entrée
I Khelf, L Laouar
CFM 2011-20ème Congrès Français de Mécanique, 2011
22011
Investigation of the Influence of the Operating Parameters on theMagnetic Encoder Geometric Error Compensation
HI Cakar, I Khelf, H André
Surveillance, Vishno and AVE conferences, 2019
12019
Ring gear tooth cracks detected using instantaneous angular speed: wind turbine application
Y Hawwari, J Touzet, H André, H Cakar, I Khelf, L Alloin
International Conference on Gears 2019, 1039-1052, 2019
2019
Normalization Process Based on Kernel Ridge Regression Applied on Wind Turbine IAS Monitoring
H Andre, F Allemand, I Khelf, A Bourdon, D Remond
International Conference on Condition Monitoring of Machinery in Non …, 2018
2018
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