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Condition monitoring of wind power plants using failure detection methods based on prediction errors

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Condition monitoring of wind power plants using failure detection methods based on prediction errors

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Mossina, L. (2015). Condition monitoring of wind power plants using failure detection methods based on prediction errors. http://hdl.handle.net/10251/66530.

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Title: Condition monitoring of wind power plants using failure detection methods based on prediction errors
Author:
Director(s): Sánchez Galdón, Ana Isabel
UPV Unit: Universitat Politècnica de València. Servicio de Alumnado - Servei d'Alumnat
Read date / Event date:
2015-07-23
Issued date:
Abstract:
[EN] The objective of the work is to build a model based on robust regression is built to characterize wind turbines data collected through a SCADA system, to be exploited as a condition monitoring tool. Discrepancies ...[+]


[ES] El objetivo del trabajo es construir un modelo basado en regresión robusta para caracterizar datos de aerogeneradores recogidos con un sistema SCADA para usarlos como herramienta para la monitorización de la condición. ...[+]
Subjects: Aerogenerador , Monitorización de la condición , Regresión robusta , Wind Turbine , Condition monitoring , Robust regression
Copyrigths: Cerrado
degree: Máster Universitario en Ingeniería de Análisis de Datos, Mejora de Procesos y Toma de decisiones-Màster Universitari en Enginyeria D'Anàlisi de Dades, Millora de Processos i Presa de decisions
Type: Tesis de máster

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