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Claude DELPHA
Claude DELPHA
Professor, Université Paris Saclay
Verified email at centralesupelec.fr
Title
Cited by
Cited by
Year
Incipient fault detection and diagnosis based on Kullback–Leibler divergence using principal component analysis: Part I
J Harmouche, C Delpha, D Diallo
Signal processing 94, 278-287, 2014
2052014
Application of Artificial Neural Networks to photovoltaic fault detection and diagnosis: A review
B Li, C Delpha, D Diallo, A Migan-Dubois
Renewable and Sustainable Energy Reviews 138, 110512, 2021
1802021
PV shading fault detection and classification based on IV curve using principal component analysis: Application to isolated PV system
S Fadhel, C Delpha, D Diallo, I Bahri, A Migan, M Trabelsi, MF Mimouni
Solar Energy 179, 1-10, 2019
1582019
Improved fault diagnosis of ball bearings based on the global spectrum of vibration signals
J Harmouche, C Delpha, D Diallo
IEEE Transactions on Energy Conversion 30 (1), 376-383, 2014
1312014
An optimal fault detection threshold for early detection using Kullback–Leibler divergence for unknown distribution data
A Youssef, C Delpha, D Diallo
Signal Processing 120, 266-279, 2016
1142016
Incipient fault detection and diagnosis based on Kullback–Leibler divergence using principal component analysis: Part II
J Harmouche, C Delpha, D Diallo
Signal Processing 109, 334-344, 2015
1112015
PMSM drive position estimation: Contribution to the high-frequency injection voltage selection issue
S Medjmadj, D Diallo, M Mostefai, C Delpha, A Arias
IEEE Transactions on energy conversion 30 (1), 349-358, 2014
1092014
Collusion resilient spread spectrum watermarking in M-band wavelets using GA-fuzzy hybridization
SP Maity, S Maity, J Sil, C Delpha
Journal of Systems and Software 86 (1), 47-59, 2013
532013
Statistical approach for nondestructive incipient crack detection and characterization using Kullback-Leibler divergence
J Harmouche, C Delpha, D Diallo, Y Le Bihan
IEEE Transactions on Reliability 65 (3), 1360-1368, 2016
442016
Multiple incipient fault diagnosis in three-phase electrical systems using multivariate statistical signal processing
C Delpha, D Diallo, H Al Samrout, N Moubayed
Engineering Applications of Artificial Intelligence 73, 68-79, 2018
432018
Incipient fault amplitude estimation using KL divergence with a probabilistic approach
J Harmouche, C Delpha, D Diallo
Signal Processing 120, 1-7, 2016
432016
Discrimination and identification of a refrigerant gas in a humidity controlled atmosphere containing or not carbon dioxide: application to the electronic nose
C Delpha, M Lumbreras, M Siadat
Sensors and Actuators B: Chemical 98 (1), 46-53, 2004
422004
Incipient short-circuit fault diagnosis of lithium-ion batteries
J Meng, M Boukhnifer, C Delpha, D Diallo
Journal of Energy Storage 31, 101658, 2020
392020
Incipient fault detection and estimation based on Jensen–Shannon divergence in a data-driven approach
X Zhang, C Delpha, D Diallo
Signal Processing 169, 107410, 2020
392020
Kullback-Leibler Divergence for fault estimation and isolation: Application to Gamma distributed data
C Delpha, D Diallo, A Youssef
Mechanical Systems and Signal Processing 93, 118-135, 2017
382017
Fault diagnosis of photovoltaic panels using full I–V characteristics and machine learning techniques
B Li, C Delpha, A Migan-Dubois, D Diallo
Energy Conversion and Management 248, 114785, 2021
372021
Humidity dependence of a TGS gas sensor array in an air-conditioned atmosphere
C Delpha, M Siadat, M Lumbreras
Sensors and Actuators B: Chemical 59 (2-3), 255-259, 1999
371999
SVM based diagnosis of inverter fed induction machine drive: A new challenge
C Delpha, H Chen, D Diallo
IECON 2012-38th Annual Conference on IEEE Industrial Electronics Society …, 2012
332012
An incipient fault diagnosis methodology using local Mahalanobis distance: Detection process based on empirical probability density estimation
J Yang, C Delpha
Signal Processing 190, 108308, 2022
322022
Maximum power point analysis for partial shading detection and identification in photovoltaic systems
S Fadhel, D Diallo, C Delpha, A Migan, I Bahri, M Trabelsi, MF Mimouni
Energy Conversion and Management 224, 113374, 2020
272020
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