Vibration Signal Analysis for Surface Roughness Prediction in Machining
Author:
Affiliation:
1. University of Constantine 1,Department of Mechanical Engineering Laboratory of Mechanics,Constantine,Algeria,27017
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10576196/10576199/10576481.pdf?arnumber=10576481
Reference4 articles.
1. Prediction of surface roughness in turning using vibration features selected by largest Lyapunov exponent based ICEEMDAN decomposition
2. A novel approach for prediction of surface roughness in turning of EN353 steel by RVR-PSO using selected features of VMD along with cutting parameters
3. Combined analysis of acoustic emission and vibration signals in monitoring tool wear, surface quality and chip formation when turning SCM440 steel using MQL
4. Surface Roughness Evaluation in Turning of Nimonic C263 Super Alloy Using 2D DWT Histogram Equalization
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