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A voting based approach for monitoring nitrogen filled tire condition using machine learning and vibration signals
Mathew, Kevin Biju
School of Mechanical Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India.
Venkatesh Sridharan, Naveen
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
ORCID iD:
0000-0002-4034-8859
Sreelatha, Anoop Prabhakaranpillai
Department of Mechanical Engineering, Providence College of Engineering, Alappuzha, Kerala, India.
Vaithiyanathan, Sugumaran
School of Mechanical Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India.
2025 (English)
In:
Proceedings of the Institution of mechanical engineers. Part D, journal of automobile engineering, ISSN 0954-4070, E-ISSN 2041-2991
Article in journal (Refereed) Epub ahead of print
Place, publisher, year, edition, pages
SAGE Publications Ltd , 2025.
Keywords [en]
Voting classifier, tire pressure monitoring system, machine learning, statistical features, vibration analysis
National Category
Other Mechanical Engineering
Research subject
Operation and Maintenance Engineering
Identifiers
URN:
urn:nbn:se:ltu:diva-111598
DOI:
10.1177/09544070241312068
ISI:
001406415200001
Scopus ID:
2-s2.0-85216239764
OAI: oai:DiVA.org:ltu-111598
DiVA, id:
diva2:1936608
Available from:
2025-02-11
Created:
2025-02-11
Last updated:
2025-10-21
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Venkatesh Sridharan, Naveen
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