Wheel flat detection using long short-term memory and transformer models with a 1:10 scale railway test rig
In railway systems, the detection of wheel flats is essential for ensuring safety and reducing maintenance costs. This study compares the performance of Long Short-Term Memory and Transformer models in detecting wheel flats using data from a 1:10 scale railway test rig. The findings indicate that th...
Saved in:
| Main Authors: | Yong Cui, Euiyoul Kim, Shizhe Yan, Qing Yu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-01-01
|
| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1177/16878132251314988 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Railway Wheel Flat Detection Based on Improved Empirical Mode Decomposition
by: Yifan Li, et al.
Published: (2016-01-01) -
Hybrid Long Short-Term Memory Wavelet Transform Models for Short-Term Electricity Load Forecasting
by: Agbassou Guenoukpati, et al.
Published: (2024-09-01) -
Laboratory and Rig Tests of High-Strength and High Crack Resistance Wheel Tyres
by: G. I. Bryunchukov, et al.
Published: (2015-10-01) -
LONGITUDINAL VIBRATION CHARACTERISTICS OF DRILL BIT IN DRILLING RIG INFLUENCE ON WEAR AND MECHANISM OF TOOTH WHEEL END
by: XIE Miao, et al.
Published: (2019-01-01) -
Research on Wheel Flat Recognition Based on Wayside Wheel–Rail Force
by: Xinyu Peng, et al.
Published: (2025-07-01)