Abstract:
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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. |