You are not logged in.

Audio signal analysis for tool wear monitoring in sheet metal stamping

Ubhayaratne, Indivarie, Pereira, Michael P., Xiang, Yong and Rolfe, Bernard F. 2017, Audio signal analysis for tool wear monitoring in sheet metal stamping, Mechanical systems and signal processing, vol. 85, pp. 809-826, doi: 10.1016/j.ymssp.2016.09.014.

Attached Files
Name Description MIMEType Size Downloads

Title Audio signal analysis for tool wear monitoring in sheet metal stamping
Author(s) Ubhayaratne, Indivarie
Pereira, Michael P.ORCID iD for Pereira, Michael P. orcid.org/0000-0002-7885-5901
Xiang, YongORCID iD for Xiang, Yong orcid.org/0000-0003-3545-7863
Rolfe, Bernard F.ORCID iD for Rolfe, Bernard F. orcid.org/0000-0001-8516-6170
Journal name Mechanical systems and signal processing
Volume number 85
Start page 809
End page 826
Total pages 18
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2017-02-15
ISSN 0888-3270
1096-1216
Keyword(s) galling
tool wear
sheet metal stamping
condition monitoring
audio signal analysis
blind signal extraction
Language eng
DOI 10.1016/j.ymssp.2016.09.014
Field of Research 091006 Manufacturing Processes and Technologies (excl Textiles)
091309 Tribology
090609 Signal Processing
080199 Artificial Intelligence and Image Processing not elsewhere classified
0905 Civil Engineering
0913 Mechanical Engineering
0915 Interdisciplinary Engineering
Socio Economic Objective 861205 Sheet Metal Products
HERDC Research category C1 Refereed article in a scholarly journal
Grant ID LP120100239
Copyright notice ©2016, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30090128

Document type: Journal Article
Collections: School of Information Technology
School of Engineering
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 1 times in TR Web of Science
Scopus Citation Count Cited 3 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 46 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Wed, 07 Dec 2016, 09:11:47 EST

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.