Estimation of Uniform Static Regression Model with Abruptly Varying Parameters
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F15%3A00446091" target="_blank" >RIV/67985556:_____/15:00446091 - isvavai.cz</a>
Alternative codes found
RIV/48361143:_____/15:#0000029
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Estimation of Uniform Static Regression Model with Abruptly Varying Parameters
Original language description
A modular framework for monitoring complex systems contains blocks that evaluate condition of single signals, typically of sensors. The signals are modelled and their values must be found within the prescribed bounds. However, an abrupt change of the signal ncreases the estimated parameters? variance, which raises uncertainty of the sensor condition although it operates correctly. This increase affects the whole system in evaluation of condition uncertainty. The solution must be fast and simple, becauseof runtime application requirements. The signal is modelled by a static model with uniform noise, variance increase is tested and if detected, the model memory is cleared. The fast and efficient algorithm is demonstrated on industrial rolling data. Themethod prevents the parameters? variance from the artificial increase.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
<a href="/en/project/7D12004" target="_blank" >7D12004: Probabilistic distributed industrial system monitor</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics
ISBN
978-989-758-122-9
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
603-607
Publisher name
SCITEPRESS ? Science and Technology Publications
Place of publication
Portugal
Event location
Colmar
Event date
Jul 21, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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