A Study on Deep Learning Application of Vibration Data and Visualization of Defects for Predictive Maintenance of Gravity Acceleration Equipment

A Study on Deep Learning Application of Vibration Data and Visualization of Defects for Predictive Maintenance of Gravity Acceleration Equipment

Hypergravity accelerators are a type of large machinery used for gravity training or medical research. A failure of such large equipment can be a serious problem in terms of safety or costs. This paper proposes a prediction model that can proactively prevent failures that may occur in a hypergravity...

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Bibliographic Details
Main Authors: SeonWoo Lee, HyeonTak Yu, HoJun Yang, InSeo Song, JungMu Choi, JaeHeung Yang, GangMin Lim, Kyu-Sung Kim, ByeongKeun Choi, JangWoo Kwon
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Applied Sciences
Subjects:
artificial intelligence
deep learning
fault detection
hyper-gravity machine
vibration monitoring
Online Access:https://www.mdpi.com/2076-3417/11/4/1564

Internet

https://www.mdpi.com/2076-3417/11/4/1564

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