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.
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Signal extraction recovers audio generated by stamping from corrupted recordings.
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Audio spectra and band power variations show good correlation with wear level.
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Signal strength increment can be detected significantly prior to process failure.
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Extracted signal shows strong correlation with increasing wear at 4.2–5.4 kHz range.