Health Monitoring of Air Compressors Using Reconstruction-Based Deep Learning for Anomaly Detection with Increased Transparency †

Anomaly detection refers to detecting data points, events, or behaviour that do not comply with expected or normal behaviour. For example, a typical problem related to anomaly detection on an industrial level is having little labelled data and a few run-to-failure examples, making it challenging to...

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Detalles Bibliográficos
Autores principales: Gribbestad, Magnus, Hassan, Muhammad Umair, Hameed, Ibrahim A., Sundli, Kelvin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7826969/
https://www.ncbi.nlm.nih.gov/pubmed/33435637
http://dx.doi.org/10.3390/e23010083

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7826969/
https://www.ncbi.nlm.nih.gov/pubmed/33435637
http://dx.doi.org/10.3390/e23010083

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