Advisory System for Operators of Complex Industrial Processes Exteded by Diagnostic Functions

Result code in 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>
Result on the web
<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>

Result language
angličtina
Original language name
Advisory System for Operators of Complex Industrial Processes Exteded by Diagnostic Functions
Original language description
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.
Czech name
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Czech description
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Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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