@inproceedings{4ac9103fa80247baa92a92bc4858eca1,
title = "Estimation of actuator fault parameters in a nonlinear boeing 747 model using a linear two-stage Kalman filter",
abstract = "In this paper, an adaptive two-stage linear Kalman filtering algorithm (Wu, Zhang, and Zhou, 2000) is used to estimate the loss of control effectiveness and the magnitude of low degree of stuck faults in a closed-loop nonlinear B747 aircraft. Control effectiveness factors and stuck magnitudes are used to quantify faults entering control systems through actuators. Pseudo random excitation inputs are used to help distinguish partial loss and stuck faults. The partial loss and stuck faults in the stabilizer are identified successfully.",
keywords = "Aircraft, Estimation, Fault detection, Fault identification, Fault isolation, Kalman filter",
author = "Fikret Caliskan and Youmin Zhang and {Eva Wu}, N. and Shin, {J. Y.}",
year = "2009",
doi = "10.3182/20090630-4-es-2003.00229",
language = "English",
isbn = "9783902661463",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
publisher = "IFAC Secretariat",
pages = "1408--1413",
booktitle = "SAFEPROCESS'09 - 7th IFAC International Symposium on Fault Detection, Supervision and Safety of Technical Systems, Proceedings",
}