Carregant...
Carregant...

Vés al contingut (premeu Retorn)

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

Autor
Acho, L.; Buenestado, P.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
16th International Conference on Renewable Energies and Power Quality
Any de l'edició
2018
Data de presentació
2018-03-21
Llibre d'actes
ICREPQ 2018: 16th International Conference on Renewable Energies and Power Quality: Salamanca, Spain: March 21-23, 2018: proceedings book
Pàgina inicial
1
Pàgina final
5
Projecte finançador
Diseño de estratégias avanzadas de control y detección de fallos para sistemas mecatrónicos complejos.
Repositori
http://hdl.handle.net/2117/114989 Obrir en finestra nova
URL
http://www.icrepq.com/papers4-icrepq18.html Obrir en finestra nova
Resum
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 detectab...
Citació
Acho, L., Buenestado, P. A wind turbine blade damage detection system based on data analysis: an academic xample on the use of histograms. A: International Conference on Renewable Energies and Power Quality. "ICREPQ 2018: 16th International Conference on Renewable Energies and Power Quality: Salamanca, Spain: March 21-23, 2018: proceedings book". 2018, p. 1-5.
Paraules clau
Blade Wind Turbine, Data Analysis, Detection System., Fault, Histograms
Grup de recerca
CoDAlab - Control, Modelització, Identificació i Aplicacions
STH - Sostenibilitat, Tecnologia i Humanisme

Participants