Deep Autoencoder Model for Hypoid Gear Fault Diagnosis With Dynamic Torque and Rotation Speed-Reference-Cited by-同舟云学术

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Deep Autoencoder Model for Hypoid Gear Fault Diagnosis With Dynamic Torque and Rotation Speed

Published:2024-05-31 Issue: Volume:chapter 11 Page:1-6
ISSN:
Container-title:2024 IEEE 11th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE)
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Author:

Žvirblis Tadas¹,Skrickij Viktor²,Kilikevičius Artūras³

Affiliation:

1. Vilnius University,Institute of Data Science and Digital Technologies,Vilnius,Lithuania

2. Vilnius Gediminas Technical University,Transport & Logistics Competence Centre,Vilnius,Lithuania

3. Vilnius Gediminas Technical University,Institute of Mechanical science,Vilnius,Lithuania

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10586276/10586595/10586692.pdf?arnumber=10586692

Reference22 articles.

1. Latest developments in gear defect diagnosis and prognosis: A review

2. Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals

3. Multisensor data fusion for gearbox fault diagnosis using 2-D convolutional neural network and motor current signature analysis

4. Gearbox Fault Diagnostics Using Deep Learning with Simulated Data

5. Explainable Convolutional Neural Network for Gearbox Fault Diagnosis

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