PROCEEDINGS IPMU '08
Sensor Failure Detection within the TBM Framework: A Markov Chain Approach
V. Ricquebourg, D. Menga, M. Delafosse, B. Marhic, L. Delahoche, A.M. Jolly-Desodt.
This paper presents a sensor failure
detection method based on the fusion of
predicted and observed sensor data. The
originality of our approach is the use of
a Markov Chain to model the normal
behavior of a sensor within the TBM
framework. When fusion between
predicted and observed data is done,
three experts analyze conflict resulting
from the fusion process and are able to
detect an abnormal behavior of the
sensor by looking for high increase of
conflict. The testing results show that
this method is efficient to detect sensor
failure with a TBM approach.
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