A decoupling method for wheel-rail contact forces of heavy-duty trains based on big data and neural networks
To accurately identify and predict wheel-rail contact forces during the operation of heavy-duty trains, this paper proposes a novel method of decoupling and predicting these forces based on big data related to non-contact strain at the wheel periphery and a neural network. Initially, a refined finit...
Saved in:
Main Authors: | ZHANG Zhenhui, WEI Kai, PENG Shenyou, YIN Shengwen, WANG Zhonggang |
---|---|
Format: | Article |
Language: | Chinese |
Published: |
Editorial Department of Electric Drive for Locomotives
2025-03-01
|
Series: | 机车电传动 |
Subjects: | |
Online Access: | http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128X.2025.03.101 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Criteria for predicting the initiation of rolling contact fatigue damage in the railway wheels and rails
by: V. I. Sakalo, et al.
Published: (2019-07-01) -
Harmonization of rail profiles and wheel pair
by: Y. S. Romen, et al.
Published: (2016-08-01) -
Research on Wheel Flat Recognition Based on Wayside Wheel–Rail Force
by: Xinyu Peng, et al.
Published: (2025-07-01) -
Research on the influence of wake effects within train groups operating at small spacing
by: SONG Zongying, et al.
Published: (2025-03-01) -
THE RESEARCH OF THE RAILWAY RAIL FOR ANALYSIS OF SURFACE INITIATED ROLLING CONTACT FATIGUE CRACKS
by: Pavlo Protsenko, et al.
Published: (2020-04-01)