Please use this identifier to cite or link to this item: 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
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

Files in This Item:
File Description SizeFormat 
eccomas_2016_vol_2_4313-4321.pdfFulltext - Published Version341.96 kBAdobe PDFView/Open



This item is protected by original copyright



Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.