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Statements

Subject Item
n2:RIV%2F68407700%3A21220%2F07%3A02133597%21RIV08-GA0-21220___
rdf:type
skos:Concept n20:Vysledek
dcterms:description
We can encounter the problem that the properties of the control variable sensor start to change. This is not a total sensor failure, but the sensor starts to provide data that is not correct. As will be shown, the problem is that such an incipient control variable sensor fault may lead to so-called control variable sensor discredibility: a specific and a barely detectable status, in which the indicated value of a control variable does not match its real value. However, this is not the only negative consequence, as undesirable side effects may sometimes occur and remain unrecognized. As will be shown, there may be unacceptable side effects. These are especially undesirable in bioenergetic processes, because they lead to an increase in harmful emissions. This paper presents results obtained while testing model-based sensor discredibility detection, using the least squares method, and also a proposal for discredibility detection using a statistical approach. We can encounter the problem that the properties of the control variable sensor start to change. This is not a total sensor failure, but the sensor starts to provide data that is not correct. As will be shown, the problem is that such an incipient control variable sensor fault may lead to so-called control variable sensor discredibility: a specific and a barely detectable status, in which the indicated value of a control variable does not match its real value. However, this is not the only negative consequence, as undesirable side effects may sometimes occur and remain unrecognized. As will be shown, there may be unacceptable side effects. These are especially undesirable in bioenergetic processes, because they lead to an increase in harmful emissions. This paper presents results obtained while testing model-based sensor discredibility detection, using the least squares method, and also a proposal for discredibility detection using a statistical approach. Setkáváme se s problémem
dcterms:title
Control Variable Sensor Discredibility Detection in Bioenergetic Processes Control Variable Sensor Discredibility Detection in Bioenergetic Processes Není k dispozici
skos:prefLabel
Control Variable Sensor Discredibility Detection in Bioenergetic Processes Control Variable Sensor Discredibility Detection in Bioenergetic Processes Není k dispozici
skos:notation
RIV/68407700:21220/07:02133597!RIV08-GA0-21220___
n4:strany
50;55
n4:aktivita
n18:P n18:Z
n4:aktivity
P(GA101/07/1667), Z(MSM6840770035)
n4:dodaniDat
n9:2008
n4:domaciTvurceVysledku
n6:4305647 n6:3639711
n4:druhVysledku
n12:D
n4:duvernostUdaju
n21:S
n4:entitaPredkladatele
n17:predkladatel
n4:idSjednocenehoVysledku
415047
n4:idVysledku
RIV/68407700:21220/07:02133597
n4:jazykVysledku
n10:eng
n4:klicovaSlova
sensor discredibility
n4:klicoveSlovo
n5:sensor%20discredibility
n4:kontrolniKodProRIV
[6C4B3044F71B]
n4:mistoKonaniAkce
Agion Nikolaos, Crete Island
n4:mistoVydani
Athens
n4:nazevZdroje
Proceedings of the 11th WSEAS International Multiconference on CSCC
n4:obor
n15:JB
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
2
n4:projekt
n14:GA101%2F07%2F1667
n4:rokUplatneniVysledku
n9:2007
n4:tvurceVysledku
Klimánek, David Šulc, Bohumil
n4:typAkce
n8:WRD
n4:zahajeniAkce
2007-07-25+02:00
n4:zamer
n16:MSM6840770035
s:issn
1790-5117
s:numberOfPages
6
n13:hasPublisher
WSEAS Press
n11:organizacniJednotka
21220