About: BAYESIAN DECISION MAKING TO SUPPORT CHANGE DETECTION IN COMPLEX MANUFACTURING SYSTEMS

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Projekt, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	http://linked.opendata.cz/ontology/domain/vavai/Projekt
rdfs:seeAlso	http://www.isvav.cz/projectDetail.do?rowId=MEB090607
Description	An enduring problem in FDI is that of characterizing the dynamics of complex systems. This is a key step towards feature extraction. The difficulty stems from the fact that in many cases it is not possible to derive a suitable model from the first principles. Given historical data, the typical way to proceed is via data projection into latent structures or by using integral transforms (orthogonal decomposition). Two main topics are addressed within the proposal: (1) Employment of Bayesian framework as systematic approach to feature extraction via exploiting on-line and historical process data available. The considered solution supposes dynamic probabilistic mixture modelling of the underlying process. The probabilistic extraction of information from process data allows us to overcome the dependence on application and does not require detailed knowledge of system dynamics. Furthermore, the related algorithms and used techniques mostly have a long tradition and already proved to be efficient and acc (en) An enduring problem in FDI is that of characterizing the dynamics of complex systems. This is a key step towards feature extraction. The difficulty stems from the fact that in many cases it is not possible to derive a suitable model from the first principles. Given historical data, the typical way to proceed is via data projection into latent structures or by using integral transforms (orthogonal decomposition). Two main topics are addressed within the proposal: (1) Employment of Bayesian framework as systematic approach to feature extraction via exploiting on-line and historical process data available. The considered solution supposes dynamic probabilistic mixture modelling of the underlying process. The probabilistic extraction of information from process data allows us to overcome the dependence on application and does not require detailed knowledge of system dynamics. Furthermore, the related algorithms and used techniques mostly have a long tradition and already proved to be efficient and acc
Title	BAYESIAN DECISION MAKING TO SUPPORT CHANGE DETECTION IN COMPLEX MANUFACTURING SYSTEMS (en) BAYESIAN DECISION MAKING TO SUPPORT CHANGE DETECTION IN COMPLEX MANUFACTURING SYSTEMS
skos:notation	MEB090607
http://linked.open...avai/cep/aktivita	KONTAKT
http://linked.open...kovaStatniPodpora	http://linked.opendata.cz/resource/domain/vavai/projekt/MEB090607/celkovaStatniPodpora
http://linked.open...ep/celkoveNaklady	http://linked.opendata.cz/resource/domain/vavai/projekt/MEB090607/celkoveNaklady
http://linked.open...datumDodatniDoRIV	2010-05-07 (xsd:date)
http://linked.open...i/cep/druhSouteze	VS - Veřejná soutěž ve výzkumu a vývoji
http://linked.open...ep/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open.../cep/fazeProjektu	69263497
http://linked.open...ai/cep/hlavniObor	BD - Teorie informace
http://linked.open...hodnoceniProjektu	U - Uspěl podle zadání, tj. byly splněny cíle a jeho předpokládané výsledky uvedené ve smlouvě / rozhodnutí o poskytnutí podpory
http://linked.open...vai/cep/kategorie	VV - Vývoj
http://linked.open.../cep/klicovaSlova	Modelling of complex systems; Fault detection; Bayesian estimation; Adaptive control (en)
http://linked.open...ep/partnetrHlavni	Ústav teorie informace a automatizace AV ČR, v. v. i.
http://linked.open...inujicichPrijemcu	0 (xsd:int)
http://linked.open...cep/pocetPrijemcu	1 (xsd:int)
http://linked.open...ocetSpoluPrijemcu	0 (xsd:int)
http://linked.open.../pocetVysledkuRIV	0 (xsd:int)
http://linked.open...enychVysledkuVRIV	0 (xsd:int)
http://linked.open...lneniVMinulemRoce	2008-10-29 (xsd:date)
http://linked.open.../prideleniPodpory	http://linked.opendata.cz/resource/domain/vavai/cep/prideleniPodpory/9186%2F2008-32
http://linked.open...iciPoslednihoRoku	2008
http://linked.open...atUdajeProjZameru	2009
http://linked.open.../vavai/cep/soutez	SMSM2008ME3
http://linked.open...usZobrazovaneFaze	DUU
http://linked.open...ai/cep/typPojektu	P - Projekt výzkumu a vývoje financovaný ze státního rozpočtu
http://linked.open...ep/ukonceniReseni	2008-12-31 (xsd:date)
http://linked.open.../cep/vedlejsiObor	BC - Teorie a systémy řízení JS - Řízení spolehlivosti a kvality, zkušebnictví
http://linked.open...ep/zahajeniReseni	2008-01-01 (xsd:date)
http://linked.open...jektu+dodavatelem	The project yielded an exchange of experience on decision methods and solved state filtering with unknown model matrices, developed partial forgetting for the case of different variability of individual parameters. (en) Projekt podpořil výměnu zkušeností v oblasti řízení a rozhodování. Navíc, vyřešil úlohu stavové filtrace z neznámými maticemi modelu, přispěl k odhadu stavu pro smíšená data, navrhl částečné zapomínání pro jednotlivé parametry měnící se různě rychle. (cs)
http://linked.open...tniCyklusProjektu	JU
http://linked.open.../cep/klicoveSlovo	Bayesian estimation Fault detection Modelling of complex systems
is http://linked.open...vavai/cep/projekt of	http://linked.opendata.cz/resource/domain/vavai/cep/ucast/MEB090607/2008/ico%3A67985556 http://linked.opendata.cz/resource/domain/vavai/cep/ucast/MEB090607/2009/ico%3A67985556

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