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

Internet

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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