Application of Wavelet Transform for Inner Race Fault

1st International Conference on Electrical Energy and Systems October 22-24th
Application of Wavelet Transform for Inner Race Fault (IRF)
Diagnosis in Bearings of Rotating Machines
A. Boudiaf*, A. Moussaoui**, S. Taleb*, D. Idiou* and R. Boulkroune*
*Centre de Recherche CSC, Unité URASM, BP 196, 23000 Annaba, Algérie, 1Email : [email protected]
**Laboratoire de génie électrique de Guelma (LGEG), Université 8 Mai 1945 Guelma
Abstract – On-line vibration monitoring of Rotary Machines is a fundamental axis of development and industrial
research. Its purpose is to provide knowledge about the working condition of machines at each moment without
stopping the production line. This method allows avoiding the production losses related to breakdowns and reducing
overall maintenance costs. Bearing fault diagnosis is important in vibration monitoring of any rotating machine.
Early fault detection in machineries can save millions of dollars in emergency maintenance cost. In this paper we are
interested to the vibration signal processing by Application of Wavelet Transform for Inner Race Fault (IRF)
Diagnosis in bearings, the suggested Technique is applied to real vibratory signals obtained from the Case Western
Reserve University Bearing Data Centre. From the monitoring results, the effectiveness of the Wavelet Transform
method was proven.
Keywords – Vibration Analysis, Fault diagnosis, Rotating Machines, Wavelet Transform, Envelope Detection
First International Conference on Electrical Energy and Systems ICEES'13