Machine Fault Detection Using a Hybrid CNN-LSTM Attention-Based Model

The predictive maintenance of electrical machines is a critical issue for companies, as it can greatly reduce maintenance costs, increase efficiency, and minimize downtime. In this paper, the issue of predicting electrical machine failures by predicting possible anomalies in the data is addressed th...

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Detalles Bibliográficos
Autores principales: Borré, Andressa, Seman, Laio Oriel, Camponogara, Eduardo, Stefenon, Stefano Frizzo, Mariani, Viviana Cocco, Coelho, Leandro dos Santos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181692/
https://www.ncbi.nlm.nih.gov/pubmed/37177716
http://dx.doi.org/10.3390/s23094512

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181692/
https://www.ncbi.nlm.nih.gov/pubmed/37177716
http://dx.doi.org/10.3390/s23094512

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