An Integration of Neural Network and Shuffled Frog-Leaping Algorithm for CNC Machining Monitoring
This paper addresses Acoustic Emission (AE) from Computer Numerical Control (CNC) machining operations. Experimental measurements are performed on the CNC lathe sensors to provide the power consumption data. To this end, a hybrid methodology based on the integration of an Artificial Neural Network (...
Main Authors: | Goli Alireza, Tirkolaee Erfan Babaee, Weber Gerhard-Wilhelm |
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Format: | Article |
Language: | English |
Published: |
Sciendo
2021-03-01
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Series: | Foundations of Computing and Decision Sciences |
Subjects: | |
Online Access: | https://doi.org/10.2478/fcds-2021-0003 |
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