Signal Processing and Machine Learning as a Tool for Identifying Idling Noises of Different Circular Saw Blades

Signal Processing and Machine Learning as a Tool for Identifying Idling Noises of Different Circular Saw Blades

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This study examines the possible utilization of machine learning and decision-making in the woodworking sector. This refers to the recognition of certain sounds produced during tool idling. The physical and geometric properties of the circular saw blade result in different noises being generated dur...

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Bibliographic Details
Main Authors: Mira Miric-Milosavljevic, Srdjan Svrzić, Zoran Nikolić, Marija Djurkovic, Mladen Furtula, Aleksandar Dedic
Format: Article
Language:English
Published: North Carolina State University 2024-01-01
Series:BioResources
Subjects:
circular saw blade
sound signal
fast fourier transform
short-time fourier transform
spectral density
deep learning network
machine learning
Online Access:https://ojs.bioresources.com/index.php/BRJ/article/view/23243

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https://ojs.bioresources.com/index.php/BRJ/article/view/23243

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