A wind turbine blade damage detection system based on data analysis: an academic xample on the use of histograms

Autor: Acho Zuppa, Leonardo|||0000-0002-4965-1133, Buenestado Caballero, Pablo|||0000-0003-3873-1362
Přispěvatelé: Universitat Politècnica de Catalunya. Departament de Matemàtiques, Universitat Politècnica de Catalunya. CoDAlab - Control, Modelització, Identificació i Aplicacions, Universitat Politècnica de Catalunya. STH - Sostenibilitat, Tecnologia i Humanisme
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
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Popis: The main objective of this paper is to introduce an academic example on the use of histograms to develop a wind turbine blade fault (or damage) detection system. This approach merely uses data analysis obtained from a generated wind turbine power. Then, and based on the power curve of a wind turbine, histograms are obtained, first, for the healthy wind turbine operation, and then, for two cases on faulty wind turbine operations. By comparing them, a faulty behaviour of a wind turbine is detectable. Finally, according to our numerical example, the proposed technique seems a realistic case to students on the statistic and probability fields as a useful academic example.
Databáze: OpenAIRE