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http://hdl.handle.net/1893/29112| Appears in Collections: | Computing Science and Mathematics Conference Papers and Proceedings |
| Author(s): | Cuyt, Annie Lee, Wen-shin Tsai, Min-nan |
| Title: | A short-time Prony method for the detection of transients |
| Editor(s): | Papadrakakis, M Papadopoulos, V Stefanou, G Plevris, V |
| Citation: | Cuyt A, Lee W & Tsai M (2016) A short-time Prony method for the detection of transients. In: Papadrakakis M, Papadopoulos V, Stefanou G & Plevris V (eds.) ECCOMAS Congress 2016 - VII European Congress on Computational Methods in Applied Sciences and Engineering Proceedings. VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016), Crete Island, Greece, 05.06.2016-10.06.2016. Athens, Greece: Institute of Structural Analysis and Antiseismic Research, National Technical University of Athens, pp. 4313-4321. https://www.eccomas2016.org/proceedings/pdf/7676.pdf |
| Issue Date: | 2016 |
| Date Deposited: | 3-Nov-2018 |
| Conference Name: | VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016) |
| Conference Dates: | 2016-06-05 - 2016-06-10 |
| Conference Location: | Crete Island, Greece |
| Abstract: | Many parametric spectral methods are based on the classical algorithm of the French engineer G. de Prony for exponential analysis. A drawback of this method is that it cannot take into consideration any discontinuities due to the starting and ending of the exponential components at different instants. We introduce a short-time Prony method that allows to extract the characteristics from such a signal and we illustrate the new method on a number of power system signals. All parameters in the signals can be extracted with high accuracy and we show how to monitor the occurrence of the transients dynamically. |
| Status: | VoR - Version of Record |
| Rights: | Authors retain copyright. Proper attribution of authorship and correct citation details should be given. |
| URL: | https://www.eccomas2016.org/proceedings/pdf/7676.pdf |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| eccomas_2016_vol_2_4313-4321.pdf | Fulltext - Published Version | 341.96 kB | Adobe PDF | View/Open |
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