0431247 20240111140850.420140912235959.9 9 s. C cav_un_epca*0431243978-989-758-039-0Volume 1550-558PortugalSCITEPRESS – Science and Technology Publications2014FilipeJoaquimGusikhinOlegMadani KuroshSasiadekJurek Sensor Faults Bayesian Statistics Gaussian Mixture cav_un_auth*0101119 Jirsa Ladislav Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101175 Pavelková Lenka Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. textový dokument http://library.utia.cas.cz/separaty/2014/AS/jirsa-0431247.pdf 7D12004 GA MŠk cav_un_auth*0291242 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. cav_un_auth*0305694 11th International Conference on Informatics in Control, Automation and Robotics - ICINCO 2014 Vien 01.09.2014-03.09.2014 AT 2015 BC 2 PR RVO:67985556 http://hdl.handle.net/11104/0236083 S 2014 textový dokument cav_un_epca*0431243 Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics Volume 1 978-989-758-039-0 550 558 Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics Portugal SCITEPRESS – Science and Technology Publications 2014 Filipe Joaquim 340 Gusikhin Oleg 340 Madani Kurosh 340 Sasiadek Jurek 340