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A Comparative Study of Imbalance-Handling Methods in Multiclass Predictive Maintenance

Predictive maintenance plays a key role in digitalization initiatives; however, in real settings, issues related to failure prediction occur when failure instances are rare compared to normal instances, leading to class imbalance. In this study, we systematically compare five machine learning (ML) m...

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Principais autores: Mohammed Alnahhal, Mosab I. Tabash, Samir K. Safi, Mujeeb Saif Mohsen Al-Absy, Zokir Mamadiyarov
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2026-04-01
coleção:Computation
Assuntos:
predictive maintenance
class imbalance
oversampling strategies
multiclass classification
rare failure detection
Acesso em linha:https://www.mdpi.com/2079-3197/14/4/88
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