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https://scidar.kg.ac.rs/handle/123456789/8319
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DC Field | Value | Language |
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dc.rights.license | openAccess | - |
dc.contributor.author | Mladenovic, Vladimir | - |
dc.contributor.author | Stefanovic, Caslav | - |
dc.contributor.author | Makov S. | - |
dc.date.accessioned | 2020-09-19T15:24:23Z | - |
dc.date.available | 2020-09-19T15:24:23Z | - |
dc.date.issued | 2019 | - |
dc.identifier.issn | 2555-0403 | - |
dc.identifier.uri | https://scidar.kg.ac.rs/handle/123456789/8319 | - |
dc.description.abstract | © The Authors, published by EDP Sciences, 2019. In this paper, the knowledge based design of digital filter for analysis of spectral components is illustrated. The primary electrical values are analyzed observing of the faults which appear by earth short circuits. The main point of view is negative sequence component and higher harmonics in distributed electrical networks. Method of symbolic processing is used to design digital filter that realizes negative sequence component. Designing of digital filter is based on active analog filter in the three-phase electrical networks using bilinear transformation. We use methods of computer algebra tools (Mathematica) to simulate processes in network. Also, we automatically derive properties of digital filter, and the knowledge embedded in symbolic expressions was used to simulate an example system. The characteristics of digital filter are given and annotated using different sampling frequency and entire cases of earth short circuits. | - |
dc.rights | info:eu-repo/semantics/openAccess | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
dc.source | E3S Web of Conferences | - |
dc.title | Energy efficiency digital filter design for spectral analysis of primary electrical values | - |
dc.type | conferenceObject | - |
dc.identifier.doi | 10.1051/e3sconf/201910402002 | - |
dc.identifier.scopus | 2-s2.0-85070110881 | - |
Appears in Collections: | Faculty of Technical Sciences, Čačak |
Files in This Item:
File | Description | Size | Format | |
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10.1051-e3sconf-201910402002.pdf | 868.85 kB | Adobe PDF | View/Open |
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