Interval Fuzzy Model for Robust Aircraft IMU Sensors Fault Detection

This paper proposes a data-based approach for a robust fault detection (FD) of the inertial measurement unit (IMU) sensors of an aircraft. Fuzzy interval models (FIMs) have been introduced for coping with the significant modeling uncertainties caused by poorly modeled aerodynamics. The proposed FIMs...

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Detalles Bibliográficos
Autores principales: Crispoltoni, Michele, Fravolini, Mario Luca, Balzano, Fabio, D’Urso, Stephane, Napolitano, Marcello Rosario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111987/
https://www.ncbi.nlm.nih.gov/pubmed/30071591
http://dx.doi.org/10.3390/s18082488

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111987/
https://www.ncbi.nlm.nih.gov/pubmed/30071591
http://dx.doi.org/10.3390/s18082488

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