Design of an Improved Model for Gear Fault Diagnosis Using Acoustic Data and EfficientNet-Based Deep Learning Process

Identifying and categorising gear faults forms an important aspect in predictive maintenance and industrial safety. Traditional methods of fault detection, such as vibration-based analysis, are restricted in terms of sensor placement, high sensitivity to environmental noise, and sheer incapacity to...

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Bibliographic Details
Main Authors: Bundele Shubham, Kane P.V.
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:EPJ Web of Conferences
Online Access:https://www.epj-conferences.org/articles/epjconf/pdf/2025/13/epjconf_icetsf2025_01012.pdf
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