The use of Acoustic Emission (AE) to monitor the condition of roller bearings in rotatingmachinery is growing in popularity. This investigation is centred on the application ofSpectral Kurtosis (SK) as a denoising tool able to enhance the bearing fault features from anAE signal. This methodology was applied to AE signals acquired from an experimentalinvestigation where different size defects were seeded on a roller bearing. The results suggestthat the signal to noise ratio can be significantly improved using SK.
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