Unsupervised Anomaly Detection for Cars CAN Sensors Time Series Using Small Recurrent and Convolutional Neural Networks

Predictive maintenance in the car industry is an active field of research for machine learning and anomaly detection. The capability of cars to produce time series data from sensors is growing as the car industry is heading towards more connected and electric vehicles. Unsupervised anomaly detectors...

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Detalles Bibliográficos
Autores principales: Cherdo, Yann, Miramond, Benoit, Pegatoquet, Alain, Vallauri, Alain
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255105/
https://www.ncbi.nlm.nih.gov/pubmed/37299741
http://dx.doi.org/10.3390/s23115013

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255105/
https://www.ncbi.nlm.nih.gov/pubmed/37299741
http://dx.doi.org/10.3390/s23115013

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