Introduction
In all moving parts of a machine, bearing failure forms one of the major causes of industrial breakdown for machines rotating at high or low speeds. The following paper provides a comparative analysis son the application of acoustic emission (EA) technique for condition monitoring of bearing element. The use of advanced signal processing and pattern recognition approach was established to monitor bearings conditions through automatic detection and diagnosis of localized defects in bearings. A short-time signal processing technique extracts two normalized and dimensionless features that establish linear discriminant functions used to detect defects on rollers of bearings and the outer race ( ...
