Data Fault Detection for Digital Twin Learning Action Decision of a Wind Turbine

• Autores: William David Chicaiza Salazar, Fabio Rodríguez Sánchez, Adolfo Juan Sánchez del Pozo Fernández, Juan Manuel Escaño González
• Localización: Irakaskuntzaren berrikuntza kontrol ingeniaritzan itsas energian / Aitor J. Garrido Hernández (ed. lit.), Matilde Santos Peñas (ed. lit.), Fares Mzoughi (ed. lit.), Izaskun Garrido Hernandez (ed. lit.), 2022, ISBN 978-84-1319-379-3, págs. 65-70
• Idioma: inglés
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• Resumen

  • This paper presents the design of a classifier of variable failures in a wind turbine system. The classifier is based on a structure formed by several TS fuzzy inference systems, with projections of the data onto components of a principal component analysis. The classifier is part of a discrepancy evaluator for triggering the learning mechanism of the digital twin of the wind turbine.