0431323 20240103204557.820140912235959.9 7 s. C cav_un_epca*0431321978-989-758-039-0133-139Lisabon, PortugalskoInstitute for Systems and Technologies of Information, Control and Communication (INSTICC)2014 Bayesian analysis subjective logic reliability 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. cav_un_auth*0212695 Ettler P. CZ http://library.utia.cas.cz/separaty/2014/AS/dedecius-0431323.pdf 7D12004 GA MŠk cav_un_auth*0291242 The use of Bayesian methods in dynamic assessment of system reliability is inevitably limited by compu- tational difficulties arising from non-conjugate prior distributions. This contribution proposes an alternative framework, based on the combination of Bayesian methods and the subjective logic. The advantage of the former - consistent and exhaustive representation of available statistical knowledge, is extended by the latter, allowing computationally feasible combination of this knowledge at any level of the observed system using logic operations. The resulting methodology is currently under development in order to enlarge the capability of an intended novel industrial hierarchical condition monitoring system. 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/11104/0236076 S 2014 cav_un_epca*0431321 Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO) 978-989-758-039-0 133 139 Lisabon, Portugalsko Institute for Systems and Technologies of Information, Control and Communication (INSTICC) 2014