Prediction of the Remaining Useful Life of Bearings Through CNN-Bi-LSTM-Based Domain Adaptation Model

Predicting the remaining useful life (RUL) of mechanical bearings is crucial in the industry. Estimating the RUL enables the assessment of health bearing, maintenance planning, and significant cost reduction, thereby fostering industrial development. Existing models rely on traditional feature engin...

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Bibliografische Detailangaben

Hauptverfasser:	Feifan Li, Zhuoheng Dai, Lei Jiang, Chanfei Song, Caiming Zhong, Yingna Chen
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2024-10-01
Schriftenreihe:	Sensors
Schlagworte:	bearing RUL CNN Bi-LSTM domain adaptation
Online-Zugang:	https://www.mdpi.com/1424-8220/24/21/6906
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