Fault detection of taper roller bearings using tunable Q-factor wavelet transform and fault classification using long–short-term memory network

Abstract Taper roller bearing is a widely used moving component in heavy industrial machinery. Hence, early detection and repair of even minor faults in taper roller bearing is a fault diagnosis and prognosis strategy followed by modern industries. Although many methods for this exist today, the pen...

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Autores principales:	A. Anwarsha, Narendiranath Babu T
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Nature Portfolio 2025-03-01
Colección:	Scientific Reports
Materias:	Fault diagnosis Taper roller bearing Tunable q-factor wavelet transform Deep learning Long–short-term memory network
Acceso en línea:	https://doi.org/10.1038/s41598-025-93514-3
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