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A wind turbine blade damage detection system based on data analysis: an academic xample on the use of histograms
dc.contributor.author | Acho Zuppa, Leonardo |
dc.contributor.author | Buenestado Caballero, Pablo |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Matemàtiques |
dc.date.accessioned | 2018-03-09T11:25:26Z |
dc.date.issued | 2018 |
dc.identifier.citation | Acho, 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. |
dc.identifier.isbn | 2172-038 X |
dc.identifier.uri | http://hdl.handle.net/2117/114989 |
dc.description.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. |
dc.format.extent | 5 p. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Energies |
dc.subject.lcsh | Wind turbines |
dc.subject.other | Blade Wind Turbine |
dc.subject.other | Data Analysis |
dc.subject.other | Histograms |
dc.subject.other | Fault |
dc.subject.other | Detection System. |
dc.title | A wind turbine blade damage detection system based on data analysis: an academic xample on the use of histograms |
dc.type | Conference report |
dc.subject.lemac | Turbines |
dc.contributor.group | Universitat Politècnica de Catalunya. CoDAlab - Control, Modelització, Identificació i Aplicacions |
dc.contributor.group | Universitat Politècnica de Catalunya. STH - Sostenibilitat, Tecnologia i Humanisme |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://www.icrepq.com/papers4-icrepq18.html |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 21997271 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Acho, L.; Buenestado, P. |
local.citation.contributor | International Conference on Renewable Energies and Power Quality |
local.citation.publicationName | ICREPQ 2018: 16th International Conference on Renewable Energies and Power Quality: Salamanca, Spain: March 21-23, 2018: proceedings book |
local.citation.startingPage | 1 |
local.citation.endingPage | 5 |