Bearing Fault Analysis using Frequency and Wavelet Techniques
Journal Title: International Journal of Computational Engineering and Management IJCEM - Year 2012, Vol 15, Issue 6
Abstract
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), Cepstrum 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. The analysis is carried out offline in MATLAB.
Authors and Affiliations
Milind Natu
Keywords
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