Cognitive decision making in multiple sensor monitoring of robot assisted polishing

T. Segreto, S. Karam, R. Teti, J. Ramsing

Research output: Contribution to journalConference articlepeer-review

11 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)333-338
Number of pages6
JournalProcedia CIRP
Publication statusPublished - 2015
Externally publishedYes
Event9th CIRP International Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2014 - Capri, Italy
Duration: 23 Jul 201425 Jul 2014


  • Feature extraction
  • Neural networks
  • Polishing
  • Sensor fusion
  • Sensor monitoring
  • Surface roughness


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