A Low Complexity Rolling Bearing Diagnosis Technique Based on Machine Learning and Smart Preprocessing.

Fort, Ada; Landi, Elia; Mugnaini, Marco; Vignoli, Valerio

Fort, Ada; Landi, Elia; Mugnaini, Marco; Vignoli, Valerio.

Afiliación

Fort A; Department of Information Engineering and Mathematics, University of Siena, 53100 Siena, Italy.
Landi E; Department of Information Engineering and Mathematics, University of Siena, 53100 Siena, Italy.
Mugnaini M; Department of Information Engineering and Mathematics, University of Siena, 53100 Siena, Italy.
Vignoli V; Department of Information Engineering and Mathematics, University of Siena, 53100 Siena, Italy.

Sensors (Basel) ; 23(17)2023 Aug 30.

Article en En | MEDLINE | ID: mdl-37688002

Palabras clave

condition monitoring; embedded systems; fault bearing fault diagnosis; machine learning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza

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