Change search
ReferencesLink to record
Permanent link

Direct link
Tests and Analysis of a novel Segmentation method using Measurement Data
University of Cordoba.
University of Cordoba.
Chalmers University of Technology.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.
2015 (English)Conference paper, Presentation (Refereed)
Abstract [en]

Fault detection in power systems and its diagnosis are highly relevant issues within a power quality scope. Detailed analysis of disturbance recordings, like voltage dips, requires accurate segmentation methods. A joint causal and anti-causal (CaC) segmentation method has been introduced but only been tested with synthetic signals. In this paper, its performance has been analysed with a set of real measurement signals.

Place, publisher, year, edition, pages
Research subject
Electric Power Engineering
URN: urn:nbn:se:ltu:diva-38844Local ID: d5be21d1-7817-4aa2-b9e2-da9e064b4d2aOAI: diva2:1012345
International Conference and Exhibition on Electricity Distribution : 15/06/2015 - 18/06/2015
Godkänd; 2015; 20150625 (matbol)Available from: 2016-10-03 Created: 2016-10-03Bibliographically approved

Open Access in DiVA

fulltext(468 kB)2 downloads
File information
File name FULLTEXT01.pdfFile size 468 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Bollen, Math
By organisation
Energy Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 2 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

ReferencesLink to record
Permanent link

Direct link