Towards enhanced acoustic fan booster damage detection: a comparative study of feature-based and machine learning approaches

Machine failure detection frequently uses non-destructive monitoring techniques such as vibration analysis. Although vibration analysis can identify machine degradation, the apparatus is often costly and necessitates specialist knowledge. Additionally, many existing methods in audio classification r...

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Detalhes bibliográficos

Principais autores:	Rikko Putra Youlia, Dedik Romahadi, Aberham Genetu Feleke, Irfan Evi Nugroho, Alina Alina
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Universitas Mercu Buana 2026-01-01
coleção:	Jurnal Ilmiah SINERGI
Assuntos:	acoustic detection fault detection machine learning power spectral density welch method
Acesso em linha:	https://publikasi.mercubuana.ac.id/index.php/sinergi/article/view/33459
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