Depth Prototype Clustering Method Based on Unsupervised Field Alignment for Bearing Fault Identification of Mechanical Equipment
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DOI: 10.1109/tim.2022.3151933
Abstract: In the process of mechanical equipment fault diagnosis, it is difficult to obtain enough labeled samples due to the changeable operating conditions, complex working environment, and the limitation of measuring equipment. Therefore, a prototype clustering… read more here.
Keywords: prototype clustering; equipment; fault; clustering method ... See more keywords