Predicting the Remaining Life of Centrifugal Pump Bearings Using the KPCA–LSTM Algorithm

Predicting the Remaining Life of Centrifugal Pump Bearings Using the KPCA–LSTM Algorithm

This paper proposes a data-driven prediction scheme for the remaining life of centrifugal pump bearings based on the KPCA–LSTM network. A centrifugal pump bearing fault experiment bench is built to collect data, and the performance of time domain, frequency domain, and time-frequency domain characte...

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Autors principals: Rongsheng Zhu, Xinyu Zhang, Qian Huang, Sihan Li, Qiang Fu
Format: Article
Idioma:English
Publicat: MDPI AG 2024-08-01
Col·lecció:Energies
Matèries:
centrifugal pump
rolling bearing
life prediction
feature fusion
KPCA
LSTM
Accés en línia:https://www.mdpi.com/1996-1073/17/16/4167

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https://www.mdpi.com/1996-1073/17/16/4167

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