Hybrid Learning Approach to Sensor Fault Detection with Flight Test Data-Reference-Cited by-同舟云学术

Hybrid Learning Approach to Sensor Fault Detection with Flight Test Data

Published:2021-09 Issue:9 Volume:59 Page:3490-3503
ISSN:0001-1452
Container-title:AIAA Journal
language:en
Short-container-title:AIAA Journal

Author:

de Silva Brian M.,Callaham Jared,Jonker Jonathan,Goebel Nicholas,Klemisch Jennifer,McDonald Darren,Hicks Nathan,Nathan Kutz J.,Brunton Steven L.,Aravkin Aleksandr Y.

Funder

Air Force Office of Scientific Research

Boeing

Publisher

American Institute of Aeronautics and Astronautics (AIAA)

Subject

Aerospace Engineering

Link

https://arc.aiaa.org/doi/pdf/10.2514/1.J059943

Reference71 articles.

1. A Review of Multisensor Fusion Methodologies for Aircraft Navigation Systems

2. A Survey of Fault Detection, Isolation, and Reconfiguration Methods

3. Advanced Diagnosis for Sustainable Flight Guidance and Control: The European ADDSAFE Project

4. A Review on Basic Data-Driven Approaches for Industrial Process Monitoring

5. An innovations approach to fault detection and diagnosis in dynamic systems

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