1. bookVolume 46 (2021): Issue 1 (March 2021)
Journal Details
First Published
24 Oct 2012
Publication timeframe
4 times per year
access type Open Access

An Integration of Neural Network and Shuffled Frog-Leaping Algorithm for CNC Machining Monitoring

Published Online: 01 Mar 2021
Volume & Issue: Volume 46 (2021) - Issue 1 (March 2021)
Page range: 27 - 42
Received: 13 Dec 2019
Accepted: 14 Apr 2020
Journal Details
First Published
24 Oct 2012
Publication timeframe
4 times per year

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 (ANN) and a Shuffled Frog-Leaping Algorithm (SFLA) is applied to the data resulting from these measurements for data fusion from the sensors which is called SFLA-ANN. The initial weights of ANN are selected using SFLA. The goal is to assess the potency of the signal periodic component among these sensors. The efficiency of the proposed SFLA-ANN method is analyzed compared to hybrid methodologies of Simulated Annealing (SA) algorithm and ANN (SA-ANN) and Genetic Algorithm (GA) and ANN (GA-ANN).


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