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Detección de anomalías basada en técnicas inteligentes de una planta de obtención de material bicomponente empleado en la fabricación de palas de aerogenerador

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Detección de anomalías basada en técnicas inteligentes de una planta de obtención de material bicomponente empleado en la fabricación de palas de aerogenerador

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Jove, E.; Casteleiro-Roca, J.; Quintián, H.; Méndez-Pérez, JA.; Calvo-Rolle, JL. (2020). Detección de anomalías basada en técnicas inteligentes de una planta de obtención de material bicomponente empleado en la fabricación de palas de aerogenerador. Revista Iberoamericana de Automática e Informática industrial. 17(1):84-93. https://doi.org/10.4995/riai.2019.11055

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Title: Detección de anomalías basada en técnicas inteligentes de una planta de obtención de material bicomponente empleado en la fabricación de palas de aerogenerador
Secondary Title: Anomaly detection based on intelligent techniques over a bicomponent production plant used on wind generator blades manufacturing
Author: Jove, E. Casteleiro-Roca, J. Quintián, H. Méndez-Pérez, J. A. Calvo-Rolle, J. L.
Issued date:
Abstract:
[ES] Los avances tecnológicos en general, y en el ámbito de la industria en particular, conllevan el desarrollo y optimización de las actividades que en ella tienen lugar. Para alcanzar este objetivo, resulta de vital ...[+]


[EN] Technological advances, especially in the industrial field, have led to the development and optimization of the activities that takes place on it. To achieve this goal, an early detection of any kind of anomaly is ...[+]
Subjects: Renewable energy systems , Windmills , Fault detection , System diagnosis , Neural networks , Sistemas de energías renovables , Aerogeneradores , Detección de anomalías , Diagnóstico de sistemas , Redes neuronales
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Revista Iberoamericana de Automática e Informática industrial. (issn: 1697-7912 ) (eissn: 1697-7920 )
DOI: 10.4995/riai.2019.11055
Publisher:
Universitat Politècnica de València
Publisher version: https://doi.org/10.4995/riai.2019.11055
Type: Artículo

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