Sensor fault detection by testing the generalized variance of the innovation covariance

Chingiz Hajiyev; Ulviye Hacizade

Sensor fault detection by testing the generalized variance of the innovation covariance

Chingiz Hajiyev
, Ulviye Hacizade

Uçak Mühendisliği Bölümü

Halic University

Araştırma sonucu: Konferansa katkı › Yazı › bilirkişi

1 Atıf (Scopus)

Özet

A new method for testing the covariance matrix of the innovation sequence of the Kalman filter is proposed. The generalized variance (determinant) of the random Wishart matrix is used in this process as a monitoring statistic, and the testing problem is reduced to determination of the asymptotics for Wishart determinants. In the simulations, the longitudinal and lateral dynamics of the F-16 aircraft model is considered, and detection of sensor failures, which affect the covariance matrix of the innovation sequence, are examined.

Orijinal dil	İngilizce
Yayın durumu	Yayınlandı - 2015
Etkinlik	21st IMEKO World Congress on Measurement in Research and Industry - Prague, Czech Republic Süre: 30 Ağu 2015 → 4 Eyl 2015

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???event.eventtypes.event.conference???	21st IMEKO World Congress on Measurement in Research and Industry
Ülke/Bölge	Czech Republic
Şehir	Prague
Periyot	30/08/15 → 4/09/15

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Link to publication in Scopus

Alıntı Yap

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title = "Sensor fault detection by testing the generalized variance of the innovation covariance",

abstract = "A new method for testing the covariance matrix of the innovation sequence of the Kalman filter is proposed. The generalized variance (determinant) of the random Wishart matrix is used in this process as a monitoring statistic, and the testing problem is reduced to determination of the asymptotics for Wishart determinants. In the simulations, the longitudinal and lateral dynamics of the F-16 aircraft model is considered, and detection of sensor failures, which affect the covariance matrix of the innovation sequence, are examined.",

keywords = "Fault detection, Generalized variance, Innovation sequence, Kalman filter, Sensor",

author = "Chingiz Hajiyev and Ulviye Hacizade",

year = "2015",

language = "English",

note = "21st IMEKO World Congress on Measurement in Research and Industry ; Conference date: 30-08-2015 Through 04-09-2015",

}

TY - CONF

T1 - Sensor fault detection by testing the generalized variance of the innovation covariance

AU - Hajiyev, Chingiz

AU - Hacizade, Ulviye

PY - 2015

Y1 - 2015

N2 - A new method for testing the covariance matrix of the innovation sequence of the Kalman filter is proposed. The generalized variance (determinant) of the random Wishart matrix is used in this process as a monitoring statistic, and the testing problem is reduced to determination of the asymptotics for Wishart determinants. In the simulations, the longitudinal and lateral dynamics of the F-16 aircraft model is considered, and detection of sensor failures, which affect the covariance matrix of the innovation sequence, are examined.

AB - A new method for testing the covariance matrix of the innovation sequence of the Kalman filter is proposed. The generalized variance (determinant) of the random Wishart matrix is used in this process as a monitoring statistic, and the testing problem is reduced to determination of the asymptotics for Wishart determinants. In the simulations, the longitudinal and lateral dynamics of the F-16 aircraft model is considered, and detection of sensor failures, which affect the covariance matrix of the innovation sequence, are examined.

KW - Fault detection

KW - Generalized variance

KW - Innovation sequence

KW - Kalman filter

KW - Sensor

UR - https://www.scopus.com/pages/publications/84951048095

M3 - Paper

AN - SCOPUS:84951048095

T2 - 21st IMEKO World Congress on Measurement in Research and Industry

Y2 - 30 August 2015 through 4 September 2015

ER -

Sensor fault detection by testing the generalized variance of the innovation covariance

Özet

???event.eventtypes.event.conference???

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