Identification of Tool-Wear State Using Information Fusion and SSA–BP Neural Network

Identification of Tool-Wear State Using Information Fusion and SSA–BP Neural Network

In modern manufacturing, cutting tools are essential for cutting processes, and their wear state directly affects the processing accuracy, production efficiency, and product quality. Identification of the tool-wear state using a single sensor is insufficient to satisfy the requirements of high-preci...

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Bibliographic Details
Main Authors: Zishuo Wang, Hongwei Cui, Shuning Liang, Tao Ding, Xingquan Gao
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Machines
Subjects:
tool-wear-state identification
information fusion
SSA–BP neural network
PCA
feature extraction
Online Access:https://www.mdpi.com/2075-1702/13/4/256
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