Biblio

5 resultats trouvés
Filtres: Mot-clé is empirical mode decomposition  [Clear All Filters]
A
Ben Ali J, Saidi L, Mouelhi A, Chebel-Morello B, Fnaiech F.  2014.  Application of Feature Reduction Techniques for Automatic Bearing Degradation Assessment. 2014 INTERNATIONAL CONFERENCE ON ELECTRICAL SCIENCES AND TECHNOLOGIES IN MAGHREB (CISTEM).
B
Saidi L, Ben Ali J, Fnaiech F, Morello B.  2014.  Bi-Spectrum Based-EMD Applied to the Non-Stationary Vibration Signals for Bearing Faults Diagnosis. 2014 6TH INTERNATIONAL CONFERENCE OF SOFT COMPUTING AND PATTERN RECOGNITION (SOCPAR). :25-30.
E
Soualhi A, Medjaher K, Zerhouni N, Razik H.  2016.  Early Detection of Bearing Faults by the Hilbert-Huang Transform. 2016 4TH INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING & INFORMATION TECHNOLOGY (CEIT).
Soualhi A, Medjaher K, Zerhouni N, Razik H.  2016.  Early Detection of Bearing Faults by the Hilbert-Huang Transform. 2016 4TH INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING & INFORMATION TECHNOLOGY (CEIT).
P
Damour C, Benne M, Grondin-Perez B, Bessafi M, Hissel D, Chabriat J-P.  2015.  Polymer electrolyte membrane fuel cell fault diagnosis based on empirical mode decomposition. JOURNAL OF POWER SOURCES. 299:596-603.