Dynamic Temperature Prediction on High-Speed Angular Contact Ball Bearings of Machine Tool Spindles Based on CNN and Informer

Dynamic Temperature Prediction on High-Speed Angular Contact Ball Bearings of Machine Tool Spindles Based on CNN and Informer

This study addressed the issues related to the difficulty of determining the operating status of machine tool spindle bearings due to the high rotational speeds and rapid temperature fluctuations. This paper presents an optimized model that combines Convolutional Neural Networks (CNNs) and Informer...

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Bibliographic Details
Main Authors: Hongyu Li, Chunyang Liu, Fang Yang, Xiqiang Ma, Nan Guo, Xin Sui, Xiao Wang
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Lubricants
Subjects:
ball bearing
temperature prediction
parameter optimization
CNN
informer
Online Access:https://www.mdpi.com/2075-4442/11/8/343

Internet

https://www.mdpi.com/2075-4442/11/8/343

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