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Optimizing sample length for fault diagnosis of clutch systems using deep learning and vibration analysis

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Year: 2024
Type: article
Source: Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering
DOI: 10.1177/09544089241272791
Authors: Ganjikunta Chakrapani, Sridharan Naveen Venkatesh, Tapan Kumar Mahanta, Natrayan Lakshmaiya, Vaithiyanathan Sugumaran
Institutions: Vellore Institute of Technology University, Luleå University of Technology, Saveetha University
Language: English

Topic: Machine Fault Diagnosis Techniques
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences

Open Access status: closed
OpenAlex ID: W4401820544
FWCI: 1.119
Cites: 43
Cited by: 7
Related to: 10
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