A wind turbine blade damage detection system based on data analysis: an academic xample on the use of histograms
Document typeConference report
Rights accessRestricted access - publisher's policy
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.
CitationAcho, 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.
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