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Acoustic Signal-Based Cutting Tool Condition Monitoring in Woodworking Using Deep Learning

2026-03-04

Abstract excerpt

<title>Abstract</title> <p>Effective monitoring of wood cutting processes is crucial for maintaining cutting quality, extending tool life, and reducing energy and material waste. While conventional methods rely on cutting forces, power consumption, or temperature measurements, this study explores acoustic signal analysis as an alternative, leveraging its sensitivity to tool condition, cutting dynamics, and transi...

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Literature Corpus work: 8fdd6c70-8bba-5418-841e-36123c33e85e
DOI: 10.21203/rs.3.rs-8969198/v1

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