Fault Detection and Isolation by Markov Chains

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F03%3A02093326" target="_blank" >RIV/68407700:21220/03:02093326 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

ruština

Original language name

Obnaruženie i izoljacija defektov pri pomošči Markovskich cepej

Original language description

The paper deals with essence of bayesian statistics and basic principals of using Markov chains in fault detection. The paper's purpose is to acquaint readers with the method of fault detection and isolation by means of probable (Bayesian) approach. Theproposed method, based on Markov chains and generated fault variable, was tested on the two-tank system. The experimental results and conclusions confirm the feasibility of proposed approach.

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

BC - Theory and management systems

OECD FORD branch

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Project

<a href="/en/project/GA102%2F03%2F0625" target="_blank" >GA102/03/0625: Consortial approach to the development of experimental models</a><br>

Continuities

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

Publication year

2003

Confidentiality

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

Name of the periodical

Nauka i novye technologii

ISSN

1026-9045

e-ISSN

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Volume of the periodical

8

Issue of the periodical within the volume

3

Country of publishing house

KG - THE KYRGYZ REPUBLIC

Number of pages

8

Pages from-to

5-12

UT code for WoS article

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EID of the result in the Scopus database

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