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 | 209 | 2014 |
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 | 192 | 2021 |
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 | 166 | 2019 |
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 | 133 | 2014 |
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 | 116 | 2014 |
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 | 115 | 2016 |
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 | 113 | 2015 |
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 | 53 | 2013 |
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 | 45 | 2018 |
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 | 44 | 2016 |
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 | 43 | 2021 |
Incipient fault amplitude estimation using KL divergence with a probabilistic approach J Harmouche, C Delpha, D Diallo Signal Processing 120, 1-7, 2016 | 43 | 2016 |
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 | 42 | 2004 |
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 | 41 | 2017 |
Incipient short-circuit fault diagnosis of lithium-ion batteries J Meng, M Boukhnifer, C Delpha, D Diallo Journal of Energy Storage 31, 101658, 2020 | 39 | 2020 |
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 | 39 | 2020 |
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 | 37 | 1999 |
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 | 34 | 2012 |
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 | 33 | 2022 |
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 | 29 | 2020 |