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An audio signal based model for condition monitoring of sheet metal stamping process

Ubhayaratne, Indivarie, Xiang, Yong, Pereira, Michael and Rolfe, Bernard 2015, An audio signal based model for condition monitoring of sheet metal stamping process, in ICIEA 2015: Proceedings of the 10th IEEE Conference on Industrial Electronics and Applications, IEEE, Piscataway, N.J., pp. 1267-1272, doi: 10.1109/ICIEA.2015.7334303.

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Title An audio signal based model for condition monitoring of sheet metal stamping process
Author(s) Ubhayaratne, Indivarie
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
Conference name IEEE Industrial Electronics and Applications. Conference (10th : 2015 : Auckland, New Zealand)
Conference location Auckland, New Zealand
Conference dates 15-17 Jun. 2015
Title of proceedings ICIEA 2015: Proceedings of the 10th IEEE Conference on Industrial Electronics and Applications
Publication date 2015
Start page 1267
End page 1272
Total pages 5
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Condition monitoring
Force
Metals
Microphones
Monitoring
Presses
Sensors
Summary Tool condition monitoring is an important factor in ensuring manufacturing efficiency and product quality. Audio signal based methods are a promising technique for condition monitoring. However, the influence of interfering signals and background noise has hindered the use of this technique in production sites. Blind signal separation (BSS) has the potential to solve this problem by recovering the signal of interest out of the observed mixtures, given that the knowledge about the BSS model is available. In this paper, we discuss the development of the BSS model for sheet metal stamping with a mechanical press system, so that the BSS techniques based on this model can be developed in future. This involves conducting a set of specially designed machine operations and developing a novel signal extraction technique. Also, the link between stamping process conditions and the extracted audio signal associated with stamping was successfully demonstrated by conducting a series of trials with different lubrication conditions and levels of tool wear.
ISBN 9781467373173
Language eng
DOI 10.1109/ICIEA.2015.7334303
Field of Research 091003 Machine Tools
091301 Acoustics and Noise Control (excl Architectural Acoustics)
091309 Tribology
Socio Economic Objective 861205 Sheet Metal Products
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Grant ID LP120100239
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30079772

Document type: Conference Paper
Collection: School of Information Technology
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