Deakin University
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ubhayaratne-audiobased-2017.pdf (5.67 MB)

Audio-based signal extraction techniques for stamping tool condition monitoring

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thesis
posted 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.

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Pagination

xxv, 192 pages : illustrations, tables, graphs, some coloured

Open access

  • Yes

Material type

thesis

Resource type

thesis

Language

eng

Degree type

Research doctorate

Degree name

PhD

Copyright notice

The Author. All Rights Reserved

Editor/Contributor(s)

Y Xiang Yong, B Rolfe Bernard, M Pereira

Faculty

Faculty of Science

School

Engineering and Built Environment

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