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Acoustic-Sensing-Based Attribute-Driven Imbalanced Compensation for Anomalous Sound Detection without Machine Identity

Acoustic sensing provides crucial data for anomalous sound detection (ASD) in condition monitoring. However, building a robust acoustic-sensing-based ASD system is challenging due to the unsupervised nature of training data, which only contain normal sound samples. Recent discriminative models based...

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Detalles Bibliográficos
Autores principales:	Zhou, Yifan, Long, Yanhua, Wei, Haoran
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648519/ https://www.ncbi.nlm.nih.gov/pubmed/37960683 http://dx.doi.org/10.3390/s23218984

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