Improved CNN-LSTM Bearing Remaining Useful Life Prediction Based on the Weibull Loss Function

The prediction of the remaining useful life (RUL) of rolling bearings is a critical task in predictive maintenance. This paper presents a deep learning model named knowledge-driven convolutional neural network–long short-term memory (KCNN-LSTM), enhanced by the Weibull-based loss function tailored w...

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Bibliographic Details

Main Authors:	Yangping, Zhang, Kho, Lee Chin, Xiaozheng, Li, Mingqiang, Zhang, Dongfeng, Yuan, Annie, Joseph
Format:	Article
Language:	en
Published:	Taiwan Association of Engineering and Technology Innovation 2026
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://ir.unimas.my/id/eprint/51878/1/WEI%2C%2B1-V32%282026%29-PETI15348%2801-13%29.pdf http://ir.unimas.my/id/eprint/51878/ https://ojs.imeti.org/index.php/PETI/article/view/15348 https://doi.org/10.46604/peti.2025.15348
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