Browsing by Author "Fernandez de Barrena, Telmo"

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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 ...
Tool remaining useful life prediction using bidirectional recurrent neural networks (BRNN)

Badiola, Xabier; Saez de Buruaga, Mikel; Vicente, Javier (Springer, 2023)

Nowadays, new challenges around increasing production quality and productivity, and decreasing energy consumption, are growing in the manufacturing industry. In order to tackle these challenges, it is of vital importance ...