Intelligent Edge Gearbox Faults Diagnosis System via Multiscale Depthwise Separable Convolution Network-Reference-Cited by-同舟云学术

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Intelligent Edge Gearbox Faults Diagnosis System via Multiscale Depthwise Separable Convolution Network

Published:2023-11-02 Issue: Volume:56 Page:1-6
ISSN:
Container-title:2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)
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Author:

Qin Shengbao¹,Pu Yuanyue¹,Tang Jian¹,Yao Shengpei¹,Chen Kaiqi¹,Huang Wenbin¹

Affiliation:

1. Chongqing University,State Key Laboratory of Mechanical Transmission,Chongqing,China

Funder

National Key Research and Development Program (Young Scientist Program)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10490445/10490449/10490890.pdf?arnumber=10490890

Reference13 articles.

1. Review of Signal Decomposition Theory and Its Applications in Machine Fault Diagnosis;Chen;J. Mech. Eng.,2020

2. An Interpretable Multiplication-Convolution Sparse Network for Equipment Intelligent Diagnosis in Antialiasing and Regularization Constraint

3. An Efficient Sequential Embedding ConvNet for Rotating Machinery Intelligent Fault Diagnosis

4. A Review of Methodologies Used for Fault Diagnosis of Gearbox

5. Peak envelope spectrum Fourier decomposition method and its application in fault diagnosis of rolling bearings

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