Integrating machine learning and feature analysis for predicting and managing thermal deformation in machine tools

This study develops a method to predict and compensate for thermal deformation in machine tools, focusing on selecting temperature-sensitive points, establishing a predictive model, and detecting temperature anomalies. Optimal sensing points were identified using feature ranking algorithms and Parti...

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Bibliografiske detaljer

Hovedforfatter:	Wen-Lin Chu
Format:	Artigo
Sprog:	Inglês
Udgivet:	Elsevier 2024-05-01
Serier:	Case Studies in Thermal Engineering
Fag:	Temperature sensitive point Thermal error compensation Time series neural network
Online adgang:	http://www.sciencedirect.com/science/article/pii/S2214157X24003745
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