FAULT DETECTION AND DIAGNOSIS IN ROTATING MACHINERY BY VIBRATION MONITORING USING FFT AND WAVELET TECHNIQUES

Type : Article de conférence
Auteur(s) :  Issam ATOUI, Hazem MERADI, Ramzi Boulkroune, Riad Saidi, Azzeddine GRID
Année :  2013
Domaine : Electrotechnique
Conférence: 2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)
Lieu de la conférence: 
Résumé en PDF :  (résumé en pdf)
Fulltext en PDF :  (.pdf)
Mots clés :  Rotor unbalance, fault detection and diagnosis, Rotating machinery, WAVELET TECHNIQUES

Résumé : 

Rotor unbalance is the most cause of machine vibration that reduces the life of the rotating machine. On the other hand, vibration monitoring is reported as an interesting technique for the rotating machinery condition diagnosis.This paper considers the Wavelet Transform (WT) and FFT of vibration signals for detect and diagnose of unbalance faults in rotating machinery. The fault condition and location of faults are success fully detected by WT-FFT for non-stationary vibration measurements obtained from accelerometer sensors. Experimental studies on the rotating machine include faulty rotor with different rotational speeds has been carried out in this paper. These experimental results confirm that WT-FFT serves as a good tool to online faults detection and diagnosis of rotating machines.