Combination of Techniques for the Fault Diagnostics

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F17%3A00311918" target="_blank" >RIV/68407700:21220/17:00311918 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/CarpathianCC.2017.7970451" target="_blank" >http://dx.doi.org/10.1109/CarpathianCC.2017.7970451</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CarpathianCC.2017.7970451" target="_blank" >10.1109/CarpathianCC.2017.7970451</a>

Result language
angličtina
Original language name
Combination of Techniques for the Fault Diagnostics
Original language description
Each autonomous technological process requires an early fault detection system as an integral part of its infrastructure. Complex fault diagnostics system must be able not only to quickly detect any unwanted deviation from nominal function, but also to make a competent estimate of the type and source of possible failure. The article presents the fault diagnostics system based on Markov model. It uses an innovative dynamically oriented classifier of fault states. The other enhancement represents the regression vector used in the diagnostics system which combines directly measured process data with their components obtained using Empirical Mode Decomposition (EMD).
Czech name
—
Czech description
—

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2017 18th International Carpathian Control Conference (ICCC)
ISBN
978-1-5090-4862-5
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
499-502
Publisher name
IEEE
Place of publication
New York
Event location
Sinaia
Event date
May 28, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000426954400092

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