DocumentCode
1846262
Title
Application of Kalman filtering to pilot detection of failures
Author
Devouassoux, Yannick ; Pritchett, Amy
Author_Institution
Georgia Inst. of Technol., Atlanta, GA, USA
Volume
1
fYear
2001
fDate
14-18 Oct 2001
Abstract
This paper presents a pilot model for fault detection. The pilot detection process is examined and a model based on an extended Kalman filter is derived. Evaluation is performed using a simulation of a B737. Failures are injected and the detection capabilities of the Kalman filter-based model are demonstrated
Keywords
Kalman filters; aerospace computing; aerospace simulation; fault diagnosis; filtering theory; human factors; B737 simulation; Kalman filtering application; extended Kalman filter; failure detection; pilot detection process; pilot model; Acoustic noise; Aircraft; Condition monitoring; Delay estimation; Fault detection; Filtering; Gain measurement; Humans; Kalman filters; Noise measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Avionics Systems, 2001. DASC. 20th Conference
Conference_Location
Daytona Beach, FL
Print_ISBN
0-7803-7034-1
Type
conf
DOI
10.1109/DASC.2001.963356
Filename
963356
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