Advancements in noise reduction for wheel speed sensing using enhanced LSTM models

Advancements in noise reduction for wheel speed sensing using enhanced LSTM models

Abstract This research presents an Enhanced Long Short-Term Memory (LSTM) deep learning model for robust noise reduction in automotive wheel speed sensors. While wheel speed sensors are pivotal to vehicle stability, high-intensity or non-stationary noise often degrades their performance. Traditional...

Full description

Saved in:
Bibliographic Details
Main Author: Shih-Lin Lin
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Enhanced LSTM
Attention mechanism
Wheel speed sensors
Noise reduction
Deep learning
Variational mode decomposition (VMD)
Online Access:https://doi.org/10.1038/s41598-025-07924-4
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-07924-4

Similar Items