Non-stationary Events Detection Based on Extrema Value Theory
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00341409" target="_blank" >RIV/68407700:21230/18:00341409 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/ICSAI.2018.8599319" target="_blank" >https://doi.org/10.1109/ICSAI.2018.8599319</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICSAI.2018.8599319" target="_blank" >10.1109/ICSAI.2018.8599319</a>
Alternative languages
Result language
angličtina
Original language name
Non-stationary Events Detection Based on Extrema Value Theory
Original language description
A detection of anomaly events in a non-stationary time series resembling vibration aspects is often based on the signal envelope. Both commonly used approaches, i.e. the Hilbert transform and the empirical mode decomposition, lead to high processing power requirements. As anomalies are assumed to be rare, we propose simplified methods based on extreme value theory that enable trend corrections and anomaly event occurrence detection. Both methods are based on the upper and lower envelope approximations that are constructed using maxima and minima limits of the signal.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/VI20152020008" target="_blank" >VI20152020008: Comprehensive fiber optic sensor security of critical infrastructures and objects using modern information systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2018 5th International Conference on Systems and Informatics (ICSAI)
ISBN
978-1-7281-0120-0
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
889-894
Publisher name
IEEE
Place of publication
Piscataway
Event location
Nanjing, China
Event date
Nov 10, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000459881500159