Power Performance Verification of a Wind Turbine by using the Wilcoxon Signed-Rank Test

Please use this identifier to cite or link to this item: http://dspace.utpl.edu.ec/jspui/handle/123456789/18730

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DC Field	Value	Language
dc.contributor.author	Hernández Perdomo, W.	es_ES
dc.contributor.author	Maldonado Correa, J.	es_ES
dc.date.accessioned	2017-06-16T22:02:16Z	-
dc.date.available	2016-09-13	es_ES
dc.date.available	2017-06-16T22:02:16Z	-
dc.date.issued	2017-06-01	es_ES
dc.identifier	10.1109/TEC.2016.2612889	es_ES
dc.identifier.isbn	14248220	es_ES
dc.identifier.other	10.1109/TEC.2016.2612889	es_ES
dc.identifier.uri	http://dspace.utpl.edu.ec/handle/123456789/18730	-
dc.description.abstract	In this letter, nonparametric statistical inference is applied to designing a simple, inexpensive method of verifying the power performance of a wind turbine. The proposed method uses the data collected by the Supervisory Control and Data Acquisition (SCADA) system and the guaranteed power curve of the turbine, and it says whether the power performance of a wind turbine differed significantly from what would be expected.	es_ES
dc.language	Inglés	es_ES
dc.subject	Median of the power output	es_ES
dc.subject	Power performance	es_ES
dc.subject	Wilcoxon signed-rank test.	es_ES
dc.title	Power Performance Verification of a Wind Turbine by using the Wilcoxon Signed-Rank Test	es_ES
dc.type	Article	es_ES
dc.publisher	Sensors (Switzerland)	es_ES
Appears in Collections:	Artículos de revistas Científicas

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