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  4. Advanced sensor signal feature extraction and pattern recognition for wire EDM process monitoring
 
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2016
Journal Article
Title

Advanced sensor signal feature extraction and pattern recognition for wire EDM process monitoring

Abstract
Wire electrical discharge machining (WEDM) is investigated in the perspective of zero-defect manufacturing with the scope to detect anomalous process conditions leading to typical defects generated during WEDM, i.e. the occurrence of lines and marks on the resulting workpiece surface. A multiple sensor monitoring system is employed to acquire high sampling rate sensorial data relative to signals of voltage and current in the gap between workpiece and wire electrode. An advanced signal processing methodology is implemented to extract and select the most relevant features useful to identify the undesired process conditions through a cognitive pattern recognition paradigm.
Author(s)
Caggiano, A.
Perez, R.
Segreto, T.
Teti, R.
Xirouchakis, P.
Journal
Procedia CIRP  
Conference
Conference on Electro Physical and Chemical Machining 2016  
Open Access
Link
Link
DOI
10.1016/j.procir.2016.02.181
Language
English
J_LEAPT  
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