Worm gear condition monitoring and fault detection from thermal images via deep learning method-Reference-Cited by-同舟云学术

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Worm gear condition monitoring and fault detection from thermal images via deep learning method

Published:2020-06-12 Issue:3 Volume:22 Page:544-556
ISSN:1507-2711
Container-title:Eksploatacja i Niezawodnosc - Maintenance and Reliability
language:
Short-container-title:EiN

Author:

Karabacak Yunus Emre,GÜRSEL ÖZMEN Nurhan,GÜMÜŞEL Levent

Publisher

Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Link

http://www.ein.org.pl/sites/default/files/2020-03-18.pdf

Cited by 32 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Model Analysis Of Worm Gear Pair System Using Finite Element Analysis;International Journal of Applied Mechanics and Engineering;2024-06-19

2. Deep Learning-based Worm Detection Method for Polymorphic Networks;2024 IEEE 4th International Conference on Electronic Technology, Communication and Information (ICETCI);2024-05-24

3. Defect Categorization of Ribbon Blender Worm Gearbox Worm Wheel and Bearing Based on Artificial Neural Network;Eksploatacja i Niezawodność – Maintenance and Reliability;2024-03-01

4. Thermal Failure Analysis of Gear Transmission System;Journal of Failure Analysis and Prevention;2024-02-05

5. A Swin Transformer-Based Fault Migration and Diagnosis Approach for Gearboxes;2024

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