Classification of transient events of nuclear reactor using Hidden Markov Model

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F00%3A00055228" target="_blank" >RIV/49777513:23520/00:00055228 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Classification of transient events of nuclear reactor using Hidden Markov Model

Original language description

In the on-line diagnostic system for monitoring of a residual live of a pressure vessel shell appears a need for determining of a real history of device described as a sequence of so called transient events. Each event is given by its template. It is theoretically necessary to compare data measured in a real history with all possible sequences of transient events. This solution is intractable and that is why a more sophisticated solution had to be used. Because this task is similar to task of an automatic speech recognition, models and algorithms used to solve speech recognition tasks can be efficiently used to solve the task. For example method of Hidden Markov Models or Blackboard architecture appeared very efficient.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

<a href="/en/project/VS97159" target="_blank" >VS97159: Center for research in the field of cybernetic systems</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2000

Confidentiality

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

Name of the periodical

Acta Polytechnica

ISSN

12102709

e-ISSN

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Volume of the periodical

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Issue of the periodical within the volume

č. 3

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

5

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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