Mostrar el registro sencillo del ítem
Power quality events detection using fourth-order spectra
| dc.contributor.author | González de la Rosa, Juan José | |
| dc.contributor.author | Sierra-Fernández, José María | |
| dc.contributor.author | Agüera Pérez, Agustín | |
| dc.contributor.author | Palomares-Salas, José Carlos | |
| dc.contributor.author | Moreno-Muñoz, A. | |
| dc.date.accessioned | 2017-12-11T07:23:54Z | |
| dc.date.available | 2017-12-11T07:23:54Z | |
| dc.date.issued | 2017-12-07 | |
| dc.identifier.uri | http://hdl.handle.net/10396/15669 | |
| dc.description.abstract | This paper introduces the use of a fourth-order frequency-domain statistical estimator, the spectral kurtosis (SK), in the field of power-quality analysis. The research has been organized in the frame of a research national project and points towards the implementation of these techniques into an automatic platform to perform PQ analysis in power plants and power inverters. Higher-order statistics in the frequency domain manage to distinguish 3 types of electrical anomalies (sags, swells and transients), with an accuracy of 83%. | es_ES |
| dc.format.mimetype | application/pdf | es_ES |
| dc.language.iso | eng | es_ES |
| dc.rights | https://creativecommons.org/licenses/by-nc-nd/4.0/ | es_ES |
| dc.source | Compatibility and Power Electronics (CPE), 8th International Conference, Ljubljana (Slovenia), 5-7 June 2013 | es_ES |
| dc.subject | Higher-Order Statistics | es_ES |
| dc.subject | Frequency domain analysis | es_ES |
| dc.subject | Power Quality | es_ES |
| dc.subject | Spectral Kurtosis | es_ES |
| dc.title | Power quality events detection using fourth-order spectra | es_ES |
| dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
| dc.relation.projectID | Gobierno de España. TEC2010-19242- C03-03 | es_ES |
| dc.relation.projectID | Junta de Andalucía. PAIDI-TIC-168 | es_ES |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
