Expert system for classification of measured signal as a sequence of processes

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F02%3A00072426" target="_blank" >RIV/49777513:23520/02:00072426 - 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

Expert system for classification of measured signal as a sequence of processes

Popis výsledku v původním jazyce

Classification of the processes is frequently required task in technical diagnostics. Often only a human expert is able to recognize data stream as list of processes that have occurred during the measurement. The recognized sequence of processes must describe the measured data stream as exactly as possible but the device should also be able to perform these processes in sequence. Described approach uses two steps to handle the problem. In the first stage, technique called the Hidden Markov Models is used to scan the data stream for possible occurrences of the processes. A set of hypotheses is generated by this algorithm. During the second stage a rule-based expert system is used to connect these hypotheses together when it is possible, and verify the resulting sequences of processes. The system based on a blackboard architecture is used to control the second stage.

Název v anglickém jazyce

Expert system for classification of measured signal as a sequence of processes

Popis výsledku anglicky

Classification of the processes is frequently required task in technical diagnostics. Often only a human expert is able to recognize data stream as list of processes that have occurred during the measurement. The recognized sequence of processes must describe the measured data stream as exactly as possible but the device should also be able to perform these processes in sequence. Described approach uses two steps to handle the problem. In the first stage, technique called the Hidden Markov Models is used to scan the data stream for possible occurrences of the processes. A set of hypotheses is generated by this algorithm. During the second stage a rule-based expert system is used to connect these hypotheses together when it is possible, and verify the resulting sequences of processes. The system based on a blackboard architecture is used to control the second stage.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

<a href="/cs/project/LN00B096" target="_blank" >LN00B096: Výzkumné centrum aplikované kybernetiky</a><br>

Návaznosti

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

Rok uplatnění

2002

Kód důvěrnosti údajů

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

Název statě ve sborníku

Expert system for classification of measured signal as a sequence of processes

ISBN

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ISSN

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e-ISSN

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Počet stran výsledku

1

Strana od-do

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Název nakladatele

Neuveden

Místo vydání

Neuveden

Místo konání akce

Neuveden

Datum konání akce

1. 1. 2002

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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