Application of Kalman filtering to pilot detection of failures

Y. Devouassoux, A. Pritchett

Research output: Contribution to conference › Paper

2 Citations (Scopus)

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 languageEnglish (US)
Pages3D31-3D39
StatePublished - Jan 1 2001
Event20th Digital Avionics Systems Conference Proceedings - Daytona Beach, FL, United States
Duration: Oct 14 2001 → Oct 18 2001

Other

Other20th Digital Avionics Systems Conference Proceedings
CountryUnited States
CityDaytona Beach, FL
Period10/14/01 → 10/18/01

Fingerprint

Extended Kalman filters
Fault detection
Kalman filters

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Electrical and Electronic Engineering

Cite this

Devouassoux, Y., & Pritchett, A. (2001). Application of Kalman filtering to pilot detection of failures. 3D31-3D39. Paper presented at 20th Digital Avionics Systems Conference Proceedings, Daytona Beach, FL, United States.
Devouassoux, Y. ; Pritchett, A. / Application of Kalman filtering to pilot detection of failures. Paper presented at 20th Digital Avionics Systems Conference Proceedings, Daytona Beach, FL, United States.
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Devouassoux, Y & Pritchett, A 2001, 'Application of Kalman filtering to pilot detection of failures', Paper presented at 20th Digital Avionics Systems Conference Proceedings, Daytona Beach, FL, United States, 10/14/01 - 10/18/01 pp. 3D31-3D39.

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

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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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Devouassoux Y, Pritchett A. Application of Kalman filtering to pilot detection of failures. 2001. Paper presented at 20th Digital Avionics Systems Conference Proceedings, Daytona Beach, FL, United States.

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