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

Author
Acho, L.; Buenestado, P.
Type of activity
Presentation of work at congresses
Name of edition
16th International Conference on Renewable Energies and Power Quality
Date of publication
2018
Presentation's date
2018-03-21
Book of congress proceedings
ICREPQ 2018: 16th International Conference on Renewable Energies and Power Quality: Salamanca, Spain: March 21-23, 2018: proceedings book
First page
1
Last page
5
Project funding
Diseño de estratégias avanzadas de control y detección de fallos para sistemas mecatrónicos complejos.
Repository
http://hdl.handle.net/2117/114989 Open in new window
URL
http://www.icrepq.com/papers4-icrepq18.html Open in new window
Abstract
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...
Citation
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.
Keywords
Blade Wind Turbine, Data Analysis, Detection System., Fault, Histograms
Group of research
CoDAlab - Control, Dynamics and Applications
STH - Sustainability, Technology and Humanism

Participants