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Audio-based signal extraction techniques for stamping tool condition monitoring

Ubhayaratne, Kongalage 2017, Audio-based signal extraction techniques for stamping tool condition monitoring, PhD thesis, School of Information Technology, Deakin University.

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Title Audio-based signal extraction techniques for stamping tool condition monitoring
Author Ubhayaratne, Kongalage
Institution Deakin University
School School of Information Technology
Faculty Faculty of Science, Engineering and Built Environment
Degree type Research doctorate
Degree name PhD
Thesis advisor Xiang YongORCID iD for Xiang Yong orcid.org/0000-0003-3545-7863
Pereira, MichaelORCID iD for Pereira, Michael orcid.org/0000-0002-7885-5901
Rolfe BernardORCID iD for Rolfe Bernard orcid.org/0000-0001-8516-6170
Date submitted 2017-06
Keyword(s) tool condition monitoring (TCM)
sheet metal stamping
automobile industry
Summary 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.
Language eng
Field of Research 090600 - Electrical and Electronic Engineering
091003 - Machine Tools
Socio Economic Objective 861403 - Industrial Machinery and Equipment
Description of original xxv, 192 pages : illustrations, tables, graphs, some coloured
Copyright notice ┬ęThe Author. All Rights Reserved
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30103478

Document type: Thesis
Collections: Higher degree theses (full text)
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Created: Wed, 18 Oct 2017, 11:49:35 EST by Asif, Yasmin

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.