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Deep learning based fault detection of automobile dry clutch system using spectrogram plots
Sai S, Aditya
School of Mechanical Engineering (SMEC), Vellore Institute of Technology, Chennai, 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
Chakrapani, Ganjikunta
School of Mechanical Engineering (SMEC), Vellore Institute of Technology, Chennai, India.
Sugumaran, Vaithiyanathan
School of Mechanical Engineering (SMEC), Vellore Institute of Technology, Chennai, India.
ORCID iD:
0000-0002-5323-6418
2024 (English)
In:
Engineering Research Express, E-ISSN 2631-8695, Vol. 6, no 2, article id 025221
Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Institute of Physics (IOP), 2024. Vol. 6, no 2, article id 025221
Keywords [en]
dry clutch, fault diagnosis, spectrogram plots, deep learning
National Category
Computer graphics and computer vision
Research subject
Operation and Maintenance Engineering
Identifiers
URN:
urn:nbn:se:ltu:diva-105675
DOI:
10.1088/2631-8695/ad4771
ISI:
001235153700001
Scopus ID:
2-s2.0-85195088023
OAI: oai:DiVA.org:ltu-105675
DiVA, id:
diva2:1863107
Note
Validerad;2024;Nivå 1;2024-05-31 (joosat);
Available from:
2024-05-30
Created:
2024-05-30
Last updated:
2025-02-07
Bibliographically approved
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Venkatesh Sridharan, Naveen
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