Testing of Sensor Condition Using Gaussian Mixture Model

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F14%3A00431247" target="_blank" >RIV/67985556:_____/14:00431247 - isvavai.cz</a>
Alternative codes found
RIV/48361143:_____/14:#0000022
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Testing of Sensor Condition Using Gaussian Mixture Model
Original language description
The paper describes a method of sensor condition testing based on processing of data measured by the sensor using a Gaussian mixture model with dynamic weights. The procedure is composed of two steps, off-line and on-line. In off-line stage, fault-free learning data are processed and described by a probabilistic mixture of regressive models (mixture components) including a transition table between active components. It is assumed that each component characterises one property of data dynamics and just one component is active in each time instant. In on-line stage, tested data are used for transition table estimation compared with the fault-free transition table. The crossing of given level of difference announces a possible fault.
Czech name
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Czech description
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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

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics
ISBN
978-989-758-039-0
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
550-558
Publisher name
SCITEPRESS ? Science and Technology Publications
Place of publication
Portugal
Event location
Vien
Event date
Sep 1, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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