Advisory System for Operators of Complex Industrial Processes Exteded by Diagnostic Functions
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43955075" target="_blank" >RIV/49777513:23520/19:43955075 - isvavai.cz</a>
Výsledek na webu
<a href="http://medwelljournals.com/abstract/?doi=jeasci.2019.3506.3513" target="_blank" >http://medwelljournals.com/abstract/?doi=jeasci.2019.3506.3513</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.36478/JEASCI.2019.3506.3513" target="_blank" >10.36478/JEASCI.2019.3506.3513</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Advisory System for Operators of Complex Industrial Processes Exteded by Diagnostic Functions
Popis výsledku v původním jazyce
Operators of industrial processes face the complexity of the process usually. They have to set all appropriate parameters correctly to ensure requested performance and quality of production. This demanding task is additionally complicated by permanent changing of ambient conditions. A probabilistic advisory system was developed as a support tool for operators. The advisory system processes historical data, and concentrates the information about process behavior into a mixture of probability density functions. With the help of Bayesian statistics, the advisory system compares historical information to the actual working point of the process and generates advisory information on how to change current process settings in order to reach requested performance and quality of production.
Název v anglickém jazyce
Advisory System for Operators of Complex Industrial Processes Exteded by Diagnostic Functions
Popis výsledku anglicky
Operators of industrial processes face the complexity of the process usually. They have to set all appropriate parameters correctly to ensure requested performance and quality of production. This demanding task is additionally complicated by permanent changing of ambient conditions. A probabilistic advisory system was developed as a support tool for operators. The advisory system processes historical data, and concentrates the information about process behavior into a mixture of probability density functions. With the help of Bayesian statistics, the advisory system compares historical information to the actual working point of the process and generates advisory information on how to change current process settings in order to reach requested performance and quality of production.
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Journal of Engineering and Applied Sciences
ISSN
1819-6608
e-ISSN
—
Svazek periodika
14
Číslo periodika v rámci svazku
11
Stát vydavatele periodika
AE - Spojené arabské emiráty
Počet stran výsledku
8
Strana od-do
3506-3513
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-85109144203