GearFaultNet: Novel Network for Automatic and Early Detection of Gearbox Faults

GearFaultNet: Novel Network for Automatic and Early Detection of Gearbox Faults

<p dir="ltr">Electrical and mechanical equipment with rotating parts often face the challenge of early breakdown due to defects in the gears or rolling bearings. Automated industrial systems can be significantly impeded by this type of fault in revolving components because of manual...

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Bibliographic Details
Main Author: Proma Dutta (19459567) (author)
Other Authors: Kanchon Kanti Podder (22045904) (author), Md. Shaheenur Islam Sumon (22045907) (author), Muhammad E. H. Chowdhury (14150526) (author), Amith Khandakar (14151981) (author), Nasser Al-Emadi (16864200) (author), Moajjem Hossain Chowdhury (21842429) (author), M. Murugappan (18842221) (author), Mohamed Arselene Ayari (17873878) (author), Sakib Mahmud (15302404) (author), S. M. Muyeen (14778337) (author)
Published: 2024
Subjects:
Engineering
Mechanical engineering
Information and computing sciences
Artificial intelligence
Machine learning
GearFaultNet
fault detection
gearbox
1D-CNN
deep learning
Gears
Fault detection
Wind turbines
Monitoring
Vibrations
Fault diagnosis
Deep learning
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