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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
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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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