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.
Original language | English (US) |
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Pages | 3D31-3D39 |
State | Published - Jan 1 2001 |
Event | 20th Digital Avionics Systems Conference Proceedings - Daytona Beach, FL, United States Duration: Oct 14 2001 → Oct 18 2001 |
Other
Other | 20th Digital Avionics Systems Conference Proceedings |
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Country | United States |
City | Daytona Beach, FL |
Period | 10/14/01 → 10/18/01 |
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All Science Journal Classification (ASJC) codes
- Aerospace Engineering
- Electrical and Electronic Engineering
Cite this
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Application of Kalman filtering to pilot detection of failures. / Devouassoux, Y.; Pritchett, A.
2001. 3D31-3D39 Paper presented at 20th Digital Avionics Systems Conference Proceedings, Daytona Beach, FL, United States.Research output: Contribution to conference › Paper
TY - CONF
T1 - Application of Kalman filtering to pilot detection of failures
AU - Devouassoux, Y.
AU - Pritchett, A.
PY - 2001/1/1
Y1 - 2001/1/1
N2 - 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.
AB - 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.
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M3 - Paper
AN - SCOPUS:18244428127
SP - 3D31-3D39
ER -