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Claude DELPHA
Claude DELPHA
Professor, Université Paris Saclay
Adresse e-mail validée de centralesupelec.fr
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Année
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
2072014
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
1872021
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
1612019
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
1322014
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
1152016
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
1152014
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
1122015
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
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
442018
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
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
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
402021
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
392017
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
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
332022
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
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
282020
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