Application LAMDA algorithm for Fault Detection and Isolation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F11%3A00446121" target="_blank" >RIV/60162694:G43__/11:00446121 - isvavai.cz</a>
Result on the web
<a href="http://vavtest.unob.cz/registr" target="_blank" >http://vavtest.unob.cz/registr</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Application LAMDA algorithm for Fault Detection and Isolation
Original language description
For many complex technical devices the classic feed-back control does not satisfy. Therefore the Fault Tolerant Control (FTC) with progressive the Fault Detection & Isolation (FDI) is applied. The objective of this article is to describe the problem withapplication of data-based approach into the FDI block. The data-based methods (in our case we talk mainly about classification-based methods) provide the final information purely from the process data. The Learning Algorithm for Multivariate Data Analysis (LAMDA) is tested here for FDI task. The results of the recherche are demonstrated in a two-tank system utilized as a benchmark.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JS - Reliability and quality management, industrial testing
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
14th International Conference on Mechatronics, MECHATRONIKA 2011
ISBN
978-80-8075-394-8
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
46-51
Publisher name
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Place of publication
Trencianske Teplice
Event location
Trencianske Teplice
Event date
Jan 1, 2010
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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