Bearing Fault Diagnosis Using De-noising Techniques Based on EMD Combined with Coefficients Correlation

Type : Article de conférence
Auteur(s) :  Omar Fethi BENAOUDA, Rabah ABDELKADER, Abdelhafid KADDOUR, Ziane DEROUICHE
Année :  2018
Domaine : Génie électrique
Conférence: 2nd International Workshop on Signal Processing Applied to Rotating Machinery Diagnostics SIG-PROMD’2018.
Lieu de la conférence:  Djelfa, Algeria
Résumé en PDF :  (résumé en pdf)
Fulltext en PDF :  (.pdf)
Mots clés :  Denoising EMD, thresholding, vibration signal, Bearing Fault, Correlation Coefficients

Résumé : 

The vibration signals of a rolling bearing contain important information which can be used in early defect detection and diagnosis. This signal is usually noisy and the information about the fault can be lost. In this paper, a new denoising method based on Empirical Mode Decomposition Iterative Interval Thresholding and estimation of the correlation coefficient (EMD-corIIT) is presented. The results are compared with others proposed methods. The application of this technique to the experimental results shows that this method can extract effectively the fault features of rolling bearing compared with the others cited methods.