Audio-based signal extraction techniques for stamping tool condition monitoring
thesisposted on 2017-06-01, 00:00 authored by Kongalage Ubhayaratne
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.
Paginationxxv, 192 pages : illustrations, tables, graphs, some coloured