Estimation of Misalignment in Bearing Shaft by Signal Processing of Acoustic Signal

Acoustic Emission (AE) is being extensively used as a Non Destructive Technique (NDT) for diagnosis of rotating components. The main theory behind this diagnosis is that while rotation, acoustic energy level of defective portion in rotating element is different. In the present study a signal processing technique is proposed to identify the variation in acoustic signal and results are verified for misalignment of the bearing shaft. Two different functions Fast Fourier Transformation (FFT) and Decomposition are used to represent the Acoustic signal at different levels of misalignment. Result reveals that the proposed methods are effective in estimating the misalignment present in the bearing shaft. Statistical parameters such as Standard deviation and Shannon entropy are also increases with increase in misalignment in the bearing shaft.