Intelligent Recognition Method of Turning Tool Wear State Based on Information Fusion Technology and BP Neural Network
Author:
Affiliation:
1. School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang 471003, China
2. Intelligent Numerical Control Equipment Engineering Laboratory of Henan Province, Luoyang 471003, China
Abstract
Funder
National Natural Science Foundation of China
Publisher
Hindawi Limited
Subject
Mechanical Engineering,Mechanics of Materials,Geotechnical Engineering and Engineering Geology,Condensed Matter Physics,Civil and Structural Engineering
Link
http://downloads.hindawi.com/journals/sv/2021/7610884.pdf
Reference27 articles.
1. Fault Diagnosis of CNC Machine Tools Common
2. Tool wear state recognition based on GWO–SVM with feature selection of genetic algorithm
3. Prediction of Cutting Tool Life Based on ACO-BP Meural Network
4. Milling Force Modeling of Worn Tool and Tool Flank Wear Recognition in End Milling
5. State Recognition Technology and Application on Milling Tool Wear
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