Abstract
Vibration signal plays very important role in fault diagnosis of machine because it carries dynamic information of the machine. Signal processing is essentially needed to process and analyse signal but it is difficult to process and analyse the noisy signal. In many cases the noise signal is even stronger than the actual vibration signal, so it is important to have some mechanism in which noise elimination can be effectively done without affecting the actual vibration signal. This mechanism is termed as de-noising of the signal, in this research an Ensemble Empirical Mode Decomposition (EEMD) based de-noising method followed by either discrete wavelet transform or Fourier transform along with their conventional thresholding methods are used to evaluate their effectiveness. It is applied on Raw and TSA form of the vibration signal.
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