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

Author
Acho, L.; Buenestado, P.
Type of activity
Journal article
Journal
Renewable energy and power quality journal
Date of publication
2018-04-11
Volume
1
Number
16
First page
505
Last page
509
Project funding
Diseño de estratégias avanzadas de control y detección de fallos para sistemas mecatrónicos complejos.
Repository
http://hdl.handle.net/2117/116254 Open in new window
http://www.icrepq.com/icrepq18/365-18-acho.pdf Open in new window
URL
http://www.icrepq.com/RE&PQJ-16-0.htm 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 example on the use of histograms. "Renewable Energy and Power Quality Journal", 11 Abril 2018, vol. 1, núm. 16, p. 505-509.
Keywords
Blade Wind Turbine, Data Analysis, Fault Detection System, Histograms
Group of research
CoDAlab - Control, Dynamics and Applications
STH - Sustainability, Technology and Humanism

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