Online Tool Wear Monitoring via Long Short-Term Memory (LSTM) Improved Particle Filtering and Gaussian Process Regression

Accurate prediction of tool wear plays a vital role in improving machining quality in intelligent manufacturing. However, traditional Gaussian Process Regression (GPR) models are constrained by linear assumptions, while conventional filtering algorithms struggle in noisy environments with low signal...

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Bibliographic Details

Published in:	Journal of Manufacturing and Materials Processing
Main Authors:	Hui Xu, Hui Xie, Guangxian Li
Format:	Article
Language:	English
Published:	MDPI AG 2025-05-01
Subjects:	tool wear LSTM GPR kernel function KPCA-SPCA
Online Access:	https://www.mdpi.com/2504-4494/9/5/163