On the Importance of Temporal Information for Remaining Useful Life Prediction of Rolling Bearings Using a Random Forest Regressor

Rolling bearings are frequently subjected to high stresses within modern machines. To prevent bearing failures, the topics of condition monitoring and predictive maintenance have become increasingly relevant. In order to efficiently and reliably maintain rolling bearings in a predictive manner, an e...

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Autors principals:	Christoph Bienefeld, Eckhard Kirchner, Andreas Vogt, Marian Kacmar
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2022-04-01
Col·lecció:	Lubricants
Matèries:	rolling bearings remaining useful life machine learning feature engineering condition monitoring structure-borne sound
Accés en línia:	https://www.mdpi.com/2075-4442/10/4/67
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