Acoustics and vibration based milling diagnostics using supervised machine learning approaches
Year: 2024
Type: conference-paper
Source: NOISE-CON proceedings
DOI: 10.3397/in_2024_4298
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W4403272330
