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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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Proma Dutta (19459567) (author)
مؤلفون آخرون:	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)
منشور في:	2024
الموضوعات:	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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GearFaultNet: Novel Network for Automatic and Early Detection of Gearbox Faults

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