An examination of an entropy based features on partial discharge pattern
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10237666" target="_blank" >RIV/61989100:27240/18:10237666 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27730/18:10237666 RIV/61989100:27740/18:10237666
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-68321-8_27" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-68321-8_27</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-68321-8_27" target="_blank" >10.1007/978-3-319-68321-8_27</a>
Alternative languages
Result language
angličtina
Original language name
An examination of an entropy based features on partial discharge pattern
Original language description
Presence of partial discharge pattern implies the fault behavior on insulation system of medium voltage overhead lines, especially with covered conductors (CC). This paper covers the examination of Approximation and Sample entropy as a signal complexity measures on partial discharge patterns of several kinds of faults. These features are calculated on multiple different adjustments such as the different applied denoising schemes and varying embedding dimensions. The final results reveal the splitting ability of these complexity measures on applied data. (C) Springer International Publishing AG 2018.
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
Result was created during the realization of more than one project. More information in the Projects tab.
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
Advances in Intelligent Systems and Computing. Volume 679
ISBN
978-3-319-68320-1
ISSN
2194-5357
e-ISSN
2194-5365
Number of pages
11
Pages from-to
265-275
Publisher name
Springer
Place of publication
Cham
Event location
Varna
Event date
Sep 14, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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