Elsevier

Procedia CIRP

Volume 33, 2015, Pages 333-338
Procedia CIRP

Cognitive Decision Making in Multiple Sensor Monitoring of Robot Assisted Polishing

https://doi.org/10.1016/j.procir.2015.06.075Get rights and content
Under a Creative Commons license
open access

Abstract

A multiple sensor monitoring system, comprising acoustic emission, strain and voltage sensors, was utilised during an experimental campaign of robot assisted polishing of steel bars for on-line evaluation of workpiece surface roughness. Two feature extraction procedures, based on conventional statistics and wavelet packet transform algorithms, were applied to the detected sensor signals in order to extract features to be fed to cognitive methods based on neural network pattern recognition paradigms seeking for correlations with the surface roughness of the polished workpiece.

Keywords

Polishing
Surface roughness
Sensor monitoring
Feature extraction
Sensor fusion
Neural networks

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Selection and peer-review under responsibility of the International Scientific Committee of “9th CIRP ICME Conference”.