Development of Lightweight RBF-DRNN and Automated Framework for CNC Tool-Wear Prediction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3164063
Abstract: Computer numerical control (CNC) tool-wear prediction (TWPred) is an important issue in the industry. Recently, researchers have demonstrated that deep-learning models (DLMs) are effective in TWPred. However, DLMs are ill-suited to small- and medium-scale manufacturers… read more here.
Keywords: cnc tool; wear prediction; framework; lightweight dlm ... See more keywords
A Study on the Prediction of CNC Tool Wear Using Machine Learning Technique
Sign Up to like & getrecommendations! Published in 2019 at "Journal of The Korean Chemical Society"
DOI: 10.15207/jkcs.2019.10.11.015
Abstract: The fourth industrial revolution is noted. It is a smarter factory. At present, research on CNC (Computerized Numeric Controller) is actively underway in the manufacturing field. Domestic CNC equipment, acoustic sensors, vibration sensors, etc. This… read more here.
Keywords: cnc; machine; study; prediction cnc ... See more keywords