Classification Method for Industrial Fault Images Based on Hyperparameter Optimization of MobileNet Using Progressive Mesh Method-Reference-Cited by-同舟云学术

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Classification Method for Industrial Fault Images Based on Hyperparameter Optimization of MobileNet Using Progressive Mesh Method

Published:2023-07-14 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 5th International Conference on Power, Intelligent Computing and Systems (ICPICS)
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Author:

Fan Kunyi¹,Xia Zichen²,Li Jiali³

Affiliation:

1. School of Statistics and Mathematics, Shandong University of Finance and Economics,Jinan,China

2. College of Software, Liaoning Technical University,Huludao,China

3. The College of Humanities, Arts, and Social Sciences (CHASS), University of California,Riverside,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10235327/10235331/10235503.pdf?arnumber=10235503

Reference12 articles.

1. The Fault Diagnosis and Monitoring of Rotating Machines by Thermography

2. Vibration and infrared thermography based multiple fault diagnosis of bearing using deep learning

3. Research on image classification model based on deep convolution neural network

4. A review on data-driven fault severity assessment in rolling bearings

5. A Hybrid Feature Selection Scheme Based on Local Compactness and Global Separability for Improving Roller Bearing Diagnostic Performance

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