Testing of Sensor Condition Using Gaussian Mixture Model

0431247 - ÚTIA 2015 RIV PT eng C - Konferenční příspěvek (zahraniční konf.)
Jirsa, Ladislav - Pavelková, Lenka
Testing of Sensor Condition Using Gaussian Mixture Model.
Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics. Portugal: SCITEPRESS – Science and Technology Publications, 2014 - (Filipe, J.; Gusikhin, O.; Madani, K.; Sasiadek, J.), s. 550-558. ISBN 978-989-758-039-0.
[11th International Conference on Informatics in Control, Automation and Robotics - ICINCO 2014. Vien (AT), 01.09.2014-03.09.2014]
Grant CEP: GA MŠMT 7D12004
Institucionální podpora: RVO:67985556
Klíčová slova: Sensor Faults * Bayesian Statistics * Gaussian Mixture
Kód oboru RIV: BC - Teorie a systémy řízení
http://library.utia.cas.cz/separaty/2014/AS/jirsa-0431247.pdf

The paper describes a method of sensor condition testing based on processing of data measured by the sensor using a Gaussian mixture model with dynamic weights. The procedure is composed of two steps, off-line and on-line. In off-line stage, fault-free learning data are processed and described by a probabilistic mixture of regressive models (mixture components) including a transition table between active components. It is assumed that each component characterises one property of data dynamics and just one component is active in each time instant. In on-line stage, tested data are used for transition table estimation compared with the fault-free transition table. The crossing of given level of difference announces a possible fault.
Trvalý link: http://hdl.handle.net/11104/0236083