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A novel machine learning‐based methodology for tool wear prediction using acoustic emission signals 

Saez de Buruaga, Mikel; Badiola, Xabier; Vicente, Javier (MDPI, 2021)
There is an increasing trend in the industry of knowing in real-time the condition of their assets. In particular, tool wear is a critical aspect, which requires real-time monitoring to reduce costs and scrap in machining ...

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Author
Badiola, Xabier (1)
Saez de Buruaga, Mikel (1)
Vicente, Javier (1)Subjectacoustic emission (1)condition monitoring (1)
machine learning (1)
predictive maintenance (1)
tool wear (1)
wavelet packet transform (1)
... View MoreDate Issued
2021 (1)
Has File(s)Yes (1)

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