Intelligent Fault Detection and Classification Based on Hybrid Deep Learning Methods for Hardware-in-the-Loop Test of Automotive Software Systems

Hardware-in-the-Loop (HIL) has been recommended by ISO 26262 as an essential test bench for determining the safety and reliability characteristics of automotive software systems (ASSs). However, due to the complexity and the huge amount of data recorded by the HIL platform during the testing process...

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Detalles Bibliográficos
Autores principales: Abboush, Mohammad, Bamal, Daniel, Knieke, Christoph, Rausch, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185421/
https://www.ncbi.nlm.nih.gov/pubmed/35684686
http://dx.doi.org/10.3390/s22114066

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185421/
https://www.ncbi.nlm.nih.gov/pubmed/35684686
http://dx.doi.org/10.3390/s22114066

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