Download the paper Condition monitoring of DC brushless motors with non-stationary dynamic conditions to understand more these datasets and the platform to do tests on bearings and to implement a SVM based classification of health states.
Download the paper Bearing and gear failure detection for brushless DC motors with adaptive feature extraction and classiffication to understand platform to do tests on bearings and gears and perform feature selection to determine the health of the equipment.
Updated: October 2014
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Click on Explore Files to explore and download the EHM files that were approved to be published.
Click on Trial Visual Explore Files to visually explore and download the EHM currently available files.