Audio-based signal extraction techniques for stamping tool condition monitoring
Kongalage Ubhayaratne · Figshare · 2017
This thesis developed blind signal separation techniques to extract wear related information from the signal mixtures. Extracted signal analysis demonstrated that there is a significant qualitative association between the emitted audio and the wear progression of sheet metal stamping tools and this is the first study that identifies such correlation.