Tire Pressure Monitoring System Using Feature Fusion and Family of Lazy Classifiers

Tire Pressure Monitoring System Using Feature Fusion and Family of Lazy Classifiers

ABSTRACT The tire pressure monitoring system (TPMS) is crucial for road safety, fuel efficiency, and vehicle performance. This study focuses on nitrogen‐filled pneumatic tires due to their uniform pressure management and thermal stability advantages over air‐filled tires. Using machine learning, the...

Full description

Saved in:
Bibliographic Details
Main Authors: Arpit Pandey, Sridharan Naveen Venkatesh, Prabhakaranpillai Sreelatha Anoop, B. R. Manju, Vaithiyanathan Sugumaran
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Engineering Reports
Subjects:
feature fusion
lazy‐based classifiers
locally weighted learning (lwl)
tire pressure monitoring system (TPMS)
vibration analysis
Online Access:https://doi.org/10.1002/eng2.13057
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1002/eng2.13057

Similar Items