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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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Uloženo v:
Hlavní autoři: Rikko Putra Youlia, Dedik Romahadi, Aberham Genetu Feleke, Irfan Evi Nugroho, Alina Alina
Médium: Artigo
Jazyk:Inglês
Vydáno: Universitas Mercu Buana 2026-01-01
Edice:Jurnal Ilmiah SINERGI
Témata:
acoustic detection
fault detection
machine learning
power spectral density
welch method
On-line přístup:https://publikasi.mercubuana.ac.id/index.php/sinergi/article/view/33459
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