A Hierarchical Training-Convolutional Neural Network for Imbalanced Fault Diagnosis in Complex Equipment
Author:
Affiliation:
1. State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/9895125/09780560.pdf?arnumber=9780560
Reference29 articles.
1. A cascading fuzzy logic with image processing algorithm–based defect detection for automatic visual inspection of industrial cylindrical object’s surface
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4. Unsupervised domain-share CNN for machine fault transfer diagnosis from steady speeds to time-varying speeds
5. Bearing fault diagnosis with intermediate domain based Layered Maximum Mean Discrepancy: A new transfer learning approach
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