Dynamic Routing-based Multimodal Neural Network for Multi-sensory Fault Diagnosis of Induction Motor

•Dynamic routing-based multimodal neural network for multi-sensory data fusion.•>Multimodal feature extraction schema is designed to enhance the diagnostic performance.•>Effectiveness is experimentally validated with induction motor fault dataset. Induction motor is the main drive power in mod...

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Bibliographic Details

Published in:	Journal of manufacturing systems Vol. 55; pp. 264 - 272
Main Authors:	Fu, Peilun, Wang, Jinjiang, Zhang, Xing, Zhang, Laibin, Gao, Robert X.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.04.2020
Subjects:	data fusion dynamic routing algorithm Induction motor fault diagnosis multimodal deep learning data fusion Induction motor fault diagnosis dynamic routing algorithm multimodal deep learning
ISSN:	0278-6125, 1878-6642
Online Access:	Get full text
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