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Erschienen in:
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2018 | OriginalPaper | Buchkapitel

19. Testing the Determinant of the Innovation Covariance Matrix Applied to Aircraft Sensor and Actuator/Surface Fault Detection

verfasst von : Chingiz Hajiyev, Ulviye Hacizade

Erschienen in: Advances in Sustainable Aviation

Verlag: Springer International Publishing

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Abstract

A new statistical fault detection technique based on the Kalman filter innovation covariance testing is proposed. The generalized variance (determinant) of the random Wishart matrix is used for this purpose as a fault detection statistic, and the testing problem is reduced to the determination of the asymptotes for Wishart determinants. In the simulations, the flight dynamics model of the F-16 fighter is investigated, and detection of sensor and actuator/surface failures, which affect the innovation covariance, is examined.

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Vorheriges Kapitel Integration of Baro-Inertial-GPS Altimeter via Complementary Kalman Filter
Nächstes Kapitel New Approach to the ATC-Pilot Radio Communication Phraseology Phonetic Confusion
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Metadaten
Titel
Testing the Determinant of the Innovation Covariance Matrix Applied to Aircraft Sensor and Actuator/Surface Fault Detection
verfasst von
Chingiz Hajiyev
Ulviye Hacizade
Copyright-Jahr
2018
Buch
Advances in Sustainable Aviation

Print ISBN: 978-3-319-67133-8

Electronic ISBN: 978-3-319-67134-5

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-67134-5_19

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