0431322 20240103204557.820140912235959.9 6 s. C cav_un_epca*0431321978-989-758-039-0127-132Lisabon, PortugalskoInstitute for Systems and Technologies of Information, Control and Communication (INSTICC)2014 Condition monitoring Fault detection and diagnosis Probabilistic logic 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/2014/AS/dedecius-0431322.pdf 7D12004 GA MŠk cav_un_auth*0291242 Pervasive uncertainty of information which affects to some extent functionality of every control and information system concerns naturally the condition monitoring systems as well. Uncertainty can practically be disregarded when monitoring a single component, but it should be taken into account when compounding extensive amount of information within a hierarchical diagnostic system. When using uncertain informa- tion for expression of inner system’s relations, probabilistic and namely subjective logic may do a good turn. However, the key problem remains how to quantify the uncertainty on the lowermost level of the monitoring system. The paper introduces several solutions based on inspection of either a single measured signal or a couple of correlated signals. 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 BB 2 PR RVO:67985556 http://hdl.handle.net/11104/0236078 S 2014 cav_un_epca*0431321 Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO) 978-989-758-039-0 127 132 Lisabon, Portugalsko Institute for Systems and Technologies of Information, Control and Communication (INSTICC) 2014