A Wind Turbine Blade Damage Detection System Based on Data Analysis: An Academic Example on the Use of Histograms

Leonardo Acho and Pablo Buenestado

 

2018/04/20

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 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.

Published in: Renewable Energy & Power Quality Journal (RE&PQJ, Nº. 16)
Pages: 505-509 Date of Publication: 2018/04/20
ISSN: 2172-038X Date of Current Version:2018/03/23
REF: 365-18 Issue Date: April 2018
DOI:10.24084/repqj16.365 Publisher: EA4EPQ

Authors and affiliations

Leonardo Acho1 and Pablo Buenestado1
1. Department of Mathematics. E.E.B.E., Polytechnic University of Catalonia. Barcelona (Spain)

Key words

Blade Wind Turbine, Data Analysis, Histograms, Fault Detection System.

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