Fault Detection and Flight Data Measurement : Demonstrated on Unmanned Air Vehicles Using Neural Networks
This book considers two popular topics: fault detection and isolation (FDI) and flight data estimation using flush air data sensing (FADS) systems. Literature surveys, comparison tests, simulations and wind tunnel tests are performed. In both cases, a UAV platform is considered for demonstration pur...
Guardado en:
| Autores principales: | , |
|---|---|
| Formato: | Livre numérique |
| Lenguaje: | Anglais |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2011.
Cham : Springer Nature |
| Colección: | Lecture Notes in Control and Information Sciences
419 |
| Materias: | |
| Acceso en línea: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Fault Detection and Flight Data Measurement, Texte imprimé, 9783642240515 • Fault Detection and Flight Data Measurement, Texte imprimé, 9783642240539 |
Tabla de Contenidos:
- Introduction
- Fault detection and isolation (FDI)
- Introduction to FADS systems
- Neural Networks
- SFDA-Single sensor faults
- SFDIA-Multiple sensor faults
- FADS system applied to a MAV
- Conclusions and Future Work.