Cargando…
A Comprehensive Case Study of Data-Driven Methods for Robust Aircraft Sensor Fault Isolation
Recent catastrophic events in aviation have shown that current fault diagnosis schemes may not be enough to ensure a reliable and prompt sensor fault diagnosis. This paper describes a comparative analysis of consolidated data-driven sensor Fault Isolation (FI) and Fault Estimation (FE) techniques us...
Autores principales: | Cartocci, Nicholas, Napolitano, Marcello R., Costante, Gabriele, Fravolini, Mario L. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7956534/ https://www.ncbi.nlm.nih.gov/pubmed/33652944 http://dx.doi.org/10.3390/s21051645 |
Ejemplares similares
-
Data-Driven Fault Diagnosis Techniques: Non-Linear Directional Residual vs. Machine-Learning-Based Methods
por: Cartocci, Nicholas, et al.
Publicado: (2022) -
Interval Fuzzy Model for Robust Aircraft IMU Sensors Fault Detection
por: Crispoltoni, Michele, et al.
Publicado: (2018) -
Robust In-Flight Sensor Fault Diagnostics for Aircraft Engine Based on Sliding Mode Observers
por: Chang, Xiaodong, et al.
Publicado: (2017) -
Aircraft engine sensor fault diagnostics using an on-line OBEM update method
por: Liu, Xiaofeng, et al.
Publicado: (2017) -
Robust Pattern Recognition Based Fault Detection and Isolation Method for ABS Speed Sensor
por: Abdulkareem, Ayad Qays, et al.
Publicado: (2023)