Probabilistic condition monitoring counting with information uncertainty

0445804 20240103210256.520150723235959.9 84942934739 Probabilistic condition monitoring counting with information uncertainty 7 s. C cav_un_epca*0445803978-960-99994-9-6Proceedings of 1st International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP)1-7AthényNational Technical University of Athens2015 uncertainty quantification condition monitoring fault detection cav_un_auth*0212695 Ettler P. CZ cav_un_auth*0242543 Dedecius Kamil Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2015/AS/dedecius-0445804.pdf 7D12004 GA MŠk cav_un_auth*0291242 Industrial condition monitoring and fault detection rely first of all on measured signals which are - like all information coming from the real world - burdened by pervasive uncertainty. A small international consortium is developing a hierarchical condition monitoring framework, which takes this uncertainty into account at any level of the observed control system hierarchy: from individual components up to the entire system. The framework adopts the so-called subjective logic - a kind of probabilistic logic enhanced by the notion of uncertainty. The main question is how to evaluate condition of every piece of input information using this theory. There were developed several methods of quantification of uncertainty for this purpose, based on relation between allowed signal range and noise of the signal, occurrence of outliers and investigation of spectral density, respectively. A specific method based on model switching was developed for piecewise stable signals which change their working points more or less abruptly. The system entered the phase of its validation in a pilot metal processing plant. cav_un_auth*0318124 1st International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP) Hersonissos, Kréta 25.05.2015-27.05.2015 GR 2016 JB PR RVO:67985556 http://hdl.handle.net/11104/0247985 S RIV/67985556:_____/15:00445804!RIV16-AV0-67985556 191684310 Nejednotny kod oboru UTIA-B RIV/67985556:_____/15:00445804!RIV16-MSM-67985556 191805814 Nejednotny kod oboru UTIA-B 2015 84942934739 SCOPUS cav_un_epca*0445803 Proceedings of 1st International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP) 978-960-99994-9-6 1 7 Athény National Technical University of Athens 2015