Title :
Application of Kalman filtering to pilot detection of failures
Author :
Devouassoux, Yannick ; Pritchett, Amy
Author_Institution :
Georgia Inst. of Technol., Atlanta, GA, USA
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;
Conference_Titel :
Digital Avionics Systems, 2001. DASC. 20th Conference
Conference_Location :
Daytona Beach, FL
Print_ISBN :
0-7803-7034-1
DOI :
10.1109/DASC.2001.963356
