Intelligent tool wear prediction based on deep learning PSD-CVT model

Intelligent tool wear prediction based on deep learning PSD-CVT model

Abstract To ensure the reliability of machining quality, it is crucial to predict tool wear accurately. In this paper, a novel deep learning-based model is proposed, which synthesizes the advantages of power spectral density (PSD), convolutional neural networks (CNN), and vision transformer model (V...

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Bibliographic Details
Main Authors: Sumei Si, Deqiang Mu, Zekai Si
Format: Article
Language:English
Published: Nature Portfolio 2024-09-01
Series:Scientific Reports
Subjects:
Convolutional neural network (CNN)
Deep learning
Tool wear prediction
Power spectral density (PSD)
Vision transformer (ViT)
Online Access:https://doi.org/10.1038/s41598-024-71795-4

Internet

https://doi.org/10.1038/s41598-024-71795-4

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