Audio signal analysis for tool wear monitoring in sheet metal stamping
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- 作者：Indivarie Ubhayaratnea ; kubhayar@deakin.edu.au" class="auth_mail" title="E-mail the corresponding author ; Michael P. Pereirab ; michael.pereira@deakin.edu.au" class="auth_mail" title="E-mail the corresponding author ; Yong Xianga ; yong.xiang@deakin.edu.au" class="auth_mail" title="E-mail the corresponding author ; Bernard F. Rolfeb ; bernard.rolfe@deakin.edu.au" class="auth_mail" title="E-mail the corresponding author
- 关键词：Galling ; Tool wear ; Sheet metal stamping ; Condition monitoring ; Audio signal analysis ; Blind signal extraction
- 刊名：Mechanical Systems and Signal Processing
- 出版年：2017
- 出版时间：15 February 2017
- 年：2017
- 卷：85
- 期：Complete
- 页码：809-826
- 全文大小：2292 K
文摘
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This is the first study using audio signals for progressive die wear monitoring.
Signal extraction recovers audio generated by stamping from corrupted recordings.
Audio spectra and band power variations show good correlation with wear level.
Signal strength increment can be detected significantly prior to process failure.
Extracted signal shows strong correlation with increasing wear at 4.2–5.4 kHz range.