Condition Monitoring and Fault Diagnosis of Bearing Using Hybrid Method Based on EEMD and Minimum Entropy Deconvolution

Type : Article de conférence
Auteur(s) :  Rabah ABDELKADER, Ziane DEROUICHE, Mohammed Khorchef, Ahmed Benyahia, Mourad ZERGOUG, Fatiha Smaili
Année :  2016
Domaine : Electronique
Conférence: 7th African Conference on Non Destructive Testing (ACNDT 2016)
Lieu de la conférence:  oran
Résumé en PDF :  (résumé en pdf)
Fulltext en PDF : 
Mots clés :  Empirical Mode Decomposition, minimum entropy deconvolution, bearing faults, correlation coefficient

Résumé : 

The application of vibration signals is power tool for diagnostic of bearing defect, however this signal is usually noisy and the information about the fault can be lost.This paper presents a novel method based on ensemble empirical mode decomposition EEMD and the minimum entropy deconvolution (MED) . MED technique is used to denoise the vibration signals, and the filtered signal is decomposed into a number of IMFs using the EEMD decomposition. The selection of the relevant modes is dependent on the correlation coefficient between the IMFs and the filtered signal. The experimental results show that the roller bearing fault features can be extracted effectively by this method