Aircraft sensor fault diagnosis based on Kalman filter innovation sequence

Fikret Caliskan*, Chingiz M. Hajiyev

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Dergiye katkıKonferans makalesibilirkişi

10 Atıf (Scopus)

Özet

A method for sensor fault detection is proposed based on the ratio of two quadratic forms of which the matrices are theoretic and selected covariance matrices of Kalman filter innovation sequence. The optimal arguments of the quadratic forms are found to quickly detect faults in sensors. The block diagram of a fault-tolerant control system is considered. The s dimensional sequence Δ is transformed into s one-dimensional sequence Δ to isolate the faulty sensor. After the isolation of the faulty sensor, a new Kalman filter is designed by taking into account s-1 sensors, obtaining a fault tolerant system structure.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)1313-1314
Sayfa sayısı2
DergiProceedings of the IEEE Conference on Decision and Control
Hacim2
Yayın durumuYayınlandı - 1998
EtkinlikProceedings of the 1998 37th IEEE Conference on Decision and Control (CDC) - Tampa, FL, USA
Süre: 16 Ara 199818 Ara 1998

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