2002Unpublished venueRequires access

Application of Kalman filtering to pilot detection of failures

Y. Devouassoux, Amy R. Pritchett

Open publisher page 2 citations

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.

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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.

Key concepts: Kalman filter, Fault detection and isolation, Computer science, Fast Kalman filter, Extended Kalman filter, Process (computing), Moving horizon estimation, Fault (geology)

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