Importance of Vibration Parameters in Fault Diagnosis and Condition Monitoring of Bearing and Analysis of Wavelets

Himanshu, Rahul

Bearings, Fault diagnosis, STFT, Wavelet Analysis.

In this paper, vibration parameters help to detect the faults generally occurred in the bearings for the bearing defect diagnosis. Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machineries can save millions of dollars in emergency maintenance cost. Different techniques are used for fault analysis such as short time Fourier transforms (STFT), Wavelet analysis (WA), spectrum analysis, Model based analysis, etc. This Paper explains the procedure for detecting bearing faults using FFT and by using Wavelet analysis more specifically HAAR wavelet up to two levels of approximations and detail components. The analysis is carried out offline in MATLAB.