Remaining Useful Life Prediction of Milling Tool Based on Improved PSO-MultiAM-BiLSTM

To improve the accuracy of remaining useful life (RUL) prediction for milling tools, this study proposes an enhanced PSO-MultiAM-BiLSTM model integrating particle swarm optimization (PSO), multi-head attention mechanism (MultiAM), and bidirectional long short-term memory (BiLSTM). The model capture...

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Bibliographic Details

Main Authors:	Xiaomei, Ni, David Chua, Sing Ngie, Wanzhen, Wang, MiaoMiao, Xin, Qiu, Man, Liangyu, Tian, Jingzhe, Sun
Format:	Article
Language:	en
Published:	Taiwan Association of Engineering and Technology Innovation 2026
Subjects:	TJ Mechanical engineering and machinery TS Manufactures
Online Access:	http://ir.unimas.my/id/eprint/51858/4/Remaining%20Useful.pdf http://ir.unimas.my/id/eprint/51858/ https://ojs.imeti.org/index.php/AITI/article/view/15175 https://doi.org/10.46604/aiti.2025.15175
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