Ultrasonic acoustic health monitoring of ball bearings using neural network pattern classification of power spectral density
This thesis presents a generic passive non-contact based acoustic health monitoring approach using ultrasonic acoustic emissions (UAE) to facilitate classification of bearing health via neural networks. This generic approach is applied to classifying the operating condition of conventional ball bea...
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Virginia Tech
2014
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| Online Access: | http://hdl.handle.net/10919/36130 http://scholar.lib.vt.edu/theses/available/etd-12142009-110105/ |