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: | zho |
| 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
-
Research on Operating Habits Diagnosis System for Heavy-haul Train Crew Based on Big Data
by: Mingliang SU
Published: (2020-07-01) -
Study on the Influence of the Small Radius Curve Rail Corruqation on Locomotive Curve Passing Safety of Heavy Haul Railway
by: Zhiwei LIU, et al.
Published: (2020-07-01) -
Analysis and Disposal of Coupler Suspension Failure of High-speed and Heavy-duty Freight Locomotive
by: Hongbo LIANG
Published: (2019-03-01) -
Wheel-rail Contact Relation Based on Different Wheel Diameter
by: ZHANG Maosong, et al.
Published: (2016-01-01) -
Dynamic response and wear analysis of a swing nose crossing in heavy haul railways
by: Enhui Zhang, et al.
Published: (2025-02-01)