Fault detection in flight control systems via innovation sequence of Kalman filter

作者: Chingiz M Hajiyev , Fikret Caliskan

DOI: 10.1049/CP:19980456

关键词:

摘要: In the paper, an approach based on ratio of two quadratic forms which matrices are theoretic and selected covariance Kalman filter innovation sequence for sensor fault detection, is presented. The optimal arguments found to quickly detect faults in sensors. does not require a priori information about statistical characteristics system. Although approach, like other detection approaches sequence, cannot isolate faults, it quite useful considerably affecting will be augmented faults.

参考文章(13)
M. Basseville, Detection of abrupt changes ,(1993)
Ron J. Patton, Paul M. Frank, Robert N. Clarke, Fault diagnosis in dynamic systems: theory and application Prentice-Hall, Inc.. ,(1989)
David Mautner Himmelblau, Fault detection and diagnosis in chemical and petrochemical processes Elsevier Scientific Pub. Co.. ,(1978)
Richard Vernon Beard, Failure accomodation in linear systems through self-reorganization. Massachusetts Institute of Technology. ,(1971)
J.J. Gertler, Survey of model-based failure detection and isolation in complex plants IEEE Control Systems Magazine. ,vol. 8, pp. 3- 11 ,(1988) , 10.1109/37.9163
Donald McLean, Automatic Flight Control Systems ,(1990)