Prediction of Key Parameters of Wheelset Based on LSTM Neural Network

Prediction of Key Parameters of Wheelset Based on LSTM Neural Network

As a key component of rail vehicle operation, the running condition of the wheelset significantly affects the operational safety of track vehicles. The wheel diameter, flange thickness, and flange height are key dimensional parameters of the wheelset, which directly influence the correct position of...

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Bibliographic Details
Main Authors: Duo Ye, Jing Wen, Shubin Zheng, Qianwen Zhong, Wanrong Pei, Hongde Jia, Chuanping Zhou, Youping Gong
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Applied Sciences
Subjects:
LSTM neural network
wheelset wear
parameter prediction
deep learning
reprofiling plan
Online Access:https://www.mdpi.com/2076-3417/13/21/11935

Internet

https://www.mdpi.com/2076-3417/13/21/11935

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