Effective Convolutional Transformer for Highly Accurate Planetary Gearbox Fault Diagnosis

Effective Convolutional Transformer for Highly Accurate Planetary Gearbox Fault Diagnosis

To extract the global temporal correlations and local features together to enhance the accuracy for fault diagnosis, this paper proposes an effective convolutional Transformer (ECT), which can learn the global temporal correlations using Transformer and local features with convolution at the same ti...

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Bibliographic Details
Main Authors:	Wenjun Sun, Hui Wang, Jiawen Xu, Yuan Yang, Ruqiang Yan
Format:	Article
Language:	English
Published:	IEEE 2022-01-01
Series:	IEEE Open Journal of Instrumentation and Measurement
Subjects:	Convolutional tokenization fault diagnosis spatial-reduction attention sequence pooling transformer
Online Access:	https://ieeexplore.ieee.org/document/9828477/

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