SPD Manifold-Based Graph Neural Network for Fault Diagnosis of Harmonic Drive-Reference-Cited by-同舟云学术

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SPD Manifold-Based Graph Neural Network for Fault Diagnosis of Harmonic Drive

Published:2023-12-22 Issue: Volume:32 Page:1-5
ISSN:
Container-title:2023 3rd International Conference on Electronic Information Engineering and Computer Communication (EIECC)
language:
Short-container-title:

Author:

Cheng Wei¹,Long Zhuo²,Ma Xiaoguang³,Li Chuanwen¹

Affiliation:

1. School of Computer Science and Engineering, Northeastern University,Shenyang,China

2. School of Electrical and Information Engineering, Changsha University of Science and Technology,Changsha,China

3. Foshan Graduate School, Northeastern University,Foshan,China

Funder

Education Department of Hunan Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10456608/10456609/10456746.pdf?arnumber=10456746

Reference15 articles.

1. Modeling a harmonic drive gear transmission

2. Vibrational characteristics of developed harmonic reduction gear and fault diagnosis by campbell diagram

3. Vibrations of Elliptically Shaped Bearings in Strain Wave Gearings

4. Fault Detection of the Harmonic Reducer Based on CNN-LSTM With a Novel Denoising Algorithm

5. Fault Detection of Harmonic Drive Using Multiscale Convolutional Neural Network

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