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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 10    
Website: http://www.ijser.org
scirp IJSER >> Volume 2, Issue 10, October 2011 Edition
A Wavelet based multiresolution analysis for real time condition monitoring of AC machine using vibration analysis
Full Text(PDF, 3000)  PP.  
Author(s)
Subhra Debdas, M.F.Qureshi, A.Reddy, D.Chandrakar, D.Pansari
KEYWORDS
Fault diagnosis, wavelet transform, multi resolution analysis, pattern recognition, wavelet density estimation.
ABSTRACT
Wavelet is a powerful tool used for non stationary signal analysis. It does not change the time information content present in the signal hence it provides a time-frequency representation of the signal. Using the wavelet technique, transients can be decomposed into series of wavelet components, in which each is a time-domain signal that covers a specific frequency band. Disturbances of small intervals are amplified frequency band. In this paper a multi-resolution based pattern recognition technique is used for vibration analysis of angle grinder machine by which different frequencies are analyzed with different resolutions. This method is more reliable as compared to other FFT based techniquesrelative to the rest of the signal when projected to similar size wavelet bases and, thus, they can be easily detected in the corresponding
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