An Adaptive Measurement Fusion Scheme for Drifted and Biased Sensors Fault Isolation


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Abstract


This paper we propose an enhancement of adaptive measurement fusion based on covariance matching method dealing with slow drifted biased sensors. The algorithm exploits the use of a forgetting factor to better detect slow and continuous biases during sensor life. Simulations confirm the effectiveness of the proposed approach in representative faults scenarios.
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Keywords


Sensor Fusion; Kalman Filter; Fault Detection; Adaptive Algorithm

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References


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