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Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F07%3A02133597" target="_blank" >RIV/68407700:21220/07:02133597 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Control Variable Sensor Discredibility Detection in Bioenergetic Processes

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Control Variable Sensor Discredibility Detection in Bioenergetic Processes

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

JB - Senzory, čidla, měření a regulace

OECD FORD obor

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Projekt

<a href="/cs/project/GA101%2F07%2F1667" target="_blank" >GA101/07/1667: Provozně zajištěná pokročilá regulace tepelně-energetických zařízení</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2007

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 11th WSEAS International Multiconference on CSCC

ISBN

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ISSN

1790-5117

e-ISSN

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Počet stran výsledku

6

Strana od-do

50-55

Název nakladatele

WSEAS Press

Místo vydání

Athens

Místo konání akce

Agion Nikolaos, Crete Island

Datum konání akce

25. 7. 2007

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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