Robust tool wear monitoring system development by sensors and feature fusion
Author:
Affiliation:
1. Department of Mechanical Engineering National Chung Hsing University Taichung Taiwan
2. Department of Electrical and Computer Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan
Funder
Ministry of Science and Technology, Taiwan
Publisher
Wiley
Subject
Control and Systems Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/asjc.2741
Reference58 articles.
1. Research on the milling tool wear and life prediction by establishing an integrated predictive model
2. Tool wear monitoring of a retrofitted CNC milling machine using artificial neural networks
3. A review of machining monitoring systems based on artificial intelligence process models
4. Study of spindle power data with neural network for predicting real-time tool wear/breakage during inconel drilling
5. Sensor signals for tool-wear monitoring in metal cutting operations—a review of methods
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