Počet záznamů: 1
Online soft sensor for hybrid systems with mixed continuous and discrete measurements
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SYSNO ASEP 0367111 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Online soft sensor for hybrid systems with mixed continuous and discrete measurements Tvůrce(i) Suzdaleva, Evgenia (UTIA-B) RID, ORCID
Nagy, Ivan (UTIA-B) RID, ORCIDCelkový počet autorů 2 Zdroj.dok. Computers and Chemical Engineering. - : Elsevier - ISSN 0098-1354
Roč. 36, č. 10 (2012), s. 294-300Poč.str. 7 s. Jazyk dok. eng - angličtina Země vyd. NL - Nizozemsko Klíč. slova online state prediction ; hybrid filter ; state-space model ; mixed data Vědní obor RIV BC - Teorie a systémy řízení CEP 1M0572 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy TA01030123 GA TA ČR - Technologická agentura ČR CEZ AV0Z10750506 - UTIA-B (2005-2011) UT WOS 000298548800025 DOI 10.1016/j.compchemeng.2011.09.004 Anotace Online state prediction and fault detection are typical tasks in the chemical industry. In practice it often happens that some variables, important and critical for quality control, cannot be measured online due to such restrictions as cost and reliability. An uncertainty existing in real systems allows to use a probabilistic approach to online state estimation. Such an approach is proposed in this paper. Different types of information appearing in an online diagnostic system are processed via combination of algorithms subject to probability distributions. This combination of algorithms is presented as a decomposed version of Bayesian filtering. In this paper, the proposed solution is specialized for a system with mixed both continuous and discrete-valued measurements and unobserved variables. Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2012
Počet záznamů: 1