0392551 20240103202556.720130730235959.9 000327757200004 84879995946 10.1080/13873954.2013.789064 12 s. P cav_un_epca*02559731387-3954195 (2013)471-482 Bayesian modelling Sensor network 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*0263972 Sečkárová Vladimíra 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/2013/AS/dedecius-0392551.pdf SVV-265315 GA MŠk CZ cav_un_auth*0291444 7D12004 GA MŠk cav_un_auth*0291242 The article concerns reliability estimation in modern dynamic systems. It introduces a novel approach, exploiting a network of several independent spatially distributed sensors, actively probing the monitored system. A dedicated network element - the fusion centre - is then responsible for processing the information provided by sensors and evaluation of final reliability estimate. On the base of computational abilities of sensors, we propose two conceptually different reliability estimation scenarios: (1) the computationally cheaper dummy sensors scenario, in which the sensors send raw data to the fusion centre; and (2) the smart sensors scenario, when the data are processed locally by sensors, and the fusion centre subsequently merges their resulting information. Bayesian paradigm was adopted for consistent information representation, its adaptive dynamic processing and fusion. 2014 BD 2 4 A 4a 20231122135631.6 http://hdl.handle.net/11104/0221520 COMPUTERSCIENCEINTERDISCIPLINARYAPPLICATIONS|MATHEMATICSAPPLIED 0.811 0.088 5.III 0.00100 0.377 233 34 0.426 ScienceCitationIndexExpanded Q2 24.746 47.046 Q3 Q3 2013 Soubory v repozitáři: dedecius-0392551.pdf 84879995946 SCOPUS 000327757200004 WOS cav_un_epca*0255973 Mathematical and Computer Modelling of Dynamical Systems 1387-3954 1744-5051 Roč. 19 č. 5 2013 471 482