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

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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Bibliographic Details
Main Authors: Feifan Li, Zhuoheng Dai, Lei Jiang, Chanfei Song, Caiming Zhong, Yingna Chen
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Sensors
Subjects:
bearing
RUL
CNN
Bi-LSTM
domain adaptation
Online Access:https://www.mdpi.com/1424-8220/24/21/6906
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