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DRCNN for Multi-task Bearing Fault Diagnosis with Information Fusion
Reference #: 01571 The University of South Carolina is offering licensing opportunities for DRCNN for Multi-task Bearing Fault Diagnosis with Information Fusion Background: First, most industrial systems are working in variable operating conditions and environments. The information of operating conditions, such as load profile, rotating speed, and...
Published: 8/22/2024   |   Inventor(s): Guangxing Niu, Bin Zhang
Keywords(s): Bearing, Deep residual convolutional neural network, Discriminate Feature Learning, Information Fusion, Multi-task Fault Diagnosis
Category(s): Engineering and Physical Sciences