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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Autors principals:	Hui Xu, Hui Xie, Guangxian Li
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2025-05-01
Col·lecció:	Journal of Manufacturing and Materials Processing
Matèries:	tool wear LSTM GPR kernel function KPCA-SPCA
Accés en línia:	https://www.mdpi.com/2504-4494/9/5/163
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