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Jinane Harmouche
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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
2192014
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
1402014
The sliding singular spectrum analysis: A data-driven nonstationary signal decomposition tool
J Harmouche, D Fourer, F Auger, P Borgnat, P Flandrin
IEEE Transactions on Signal Processing 66 (1), 251-263, 2017
1372017
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
1192015
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
472016
Incipient fault amplitude estimation using KL divergence with a probabilistic approach
J Harmouche, C Delpha, D Diallo
Signal Processing 120, 1-7, 2016
452016
Leak detection in water distribution pipes using singular spectrum analysis
R Cody, J Harmouche, S Narasimhan
Urban Water Journal 15 (7), 636-644, 2018
422018
The ASTRES toolbox for mode extraction of non-stationary multicomponent signals
D Fourer, J Harmouche, J Schmitt, T Oberlin, S Meignen, F Auger, ...
2017 25th European Signal Processing Conference (EUSIPCO), 1130-1134, 2017
392017
Long-term monitoring for leaks in water distribution networks using association rules mining
J Harmouche, S Narasimhan
IEEE Transactions on Industrial Informatics 16 (1), 258-266, 2019
302019
Mean shift clustering-based analysis of nonstationary vibration signals for machinery diagnostics
S Fong, J Harmouche, S Narasimhan, J Antoni
IEEE Transactions on Instrumentation and Measurement 69 (7), 4056-4066, 2019
252019
Faults diagnosis and detection using principal component analysis and Kullback-Leibler divergence
J Harmouche, C Delpha, D Diallo
IECON 2012-38th Annual Conference on IEEE Industrial Electronics Society …, 2012
202012
A global approach for the classification of bearing faults conditions using spectral features
J Harmouche, C Delpha, D Diallo
IECON 2013-39th Annual Conference of the IEEE Industrial Electronics Society …, 2013
192013
Linear discriminant analysis for the discrimination of faults in bearing balls by using spectral features
J Harmouche, C Delpha, D Diallo
2014 First International Conference on Green Energy ICGE 2014, 182-187, 2014
152014
Statistical Incipient Fault Detection and Diagnosis with Kullback-Leibler Divergence: From Theory to Applications
J Harmouche
Supélec, 2014
112014
A theoretical approach for incipient fault severity assessment using the Kullback-Leibler Divergence
J Harmouche, C Delpha, D Diallo
21st European Signal Processing Conference (EUSIPCO 2013), 1-5, 2013
112013
Capability evaluation of incipient fault detection in noisy environment: A theoretical Kullback-Leibler divergence-based approach for diagnosis
A Youssef, J Harmouche, C Delpha, D Diallo
IECON 2013-39th Annual Conference of the IEEE Industrial Electronics Society …, 2013
82013
Une ou deux composantes: la réponse de l’analyse spectrale singulière
J Harmouche, D Fourer, F Auger, P Borgnat, P Flandrin
Actes du colloque GRETSI, 2015
52015
One or two components? the singular spectrum analysis answers
J Harmouche, D Fourer, P Flandrin, F Auger, P Borgnat
Reconstruction 1, 1, 2015
52015
Bearing fault diagnosis in rotating machines
C Delpha, D Diallo, J Harmouche, M Benbouzid, Y Amirat, E Elbouchikhi
Electrical systems 2: From diagnosis to prognosis, 123-151, 2020
42020
Discrimination des défauts de roulements par une analyse spectrale globale
J Harmouche, D Diallo, C Delpha
Symposium de Génie Électrique 2014, 2014
32014
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Articles 1–20