Pipeline Leakage Detection via Extreme Seeking Entropy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F24%3A43930917" target="_blank" >RIV/60461373:22340/24:43930917 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-53549-9_7" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-53549-9_7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-53549-9_7" target="_blank" >10.1007/978-3-031-53549-9_7</a>
Alternative languages
Result language
angličtina
Original language name
Pipeline Leakage Detection via Extreme Seeking Entropy
Original language description
In this article, we present a case study of pipeline leakage detection via an adaptive novelty detection algorithm. The detection is based on an affine projection filter applied to a sound recording of the pipeline outlet. Adaptive weight increments of the filter are evaluated by the Extreme Seeking Entropy algorithm to estimate the amount of novelty in data. The suitability of the proposed approach is presented in three case studies where the leakage was simulated in the degassing process model by increasing the discharge flow. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
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
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Software Engineering Methods in Systems and Network Systems
ISBN
978-3-031-53548-2
ISSN
2367-3370
e-ISSN
2367-3389
Number of pages
8
Pages from-to
67-74
Publisher name
Springer Cham
Place of publication
Cham
Event location
Virtual, Online
Event date
Apr 12, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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