Mostrando 7 resultados de: 7
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Renewable Energy and Power Quality Journal(5)
Energies(1)
International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII(1)
Convolutional neural network for wind turbine failure classification based on scada data
ArticleAbstract: As a renewable energy source and an alternative to fossil fuels, the wind power industry is growingPalabras claves:Convolutional neural network, Fast, Fault detection and classification, SCADA data, Wind turbineAutores:Bryan Puruncajas, Christian Tutivén Gálvez, Encalada-Dávila , Vidal Y., William ÁlavaFuentes:googlescopusFault Prognosis for Wind Turbines' Main Bearing based on SCADA data
Conference ObjectAbstract: The rapid growth of large-scale wind turbines (WT) has changed the requirements in terms of operatioPalabras claves:Convolutional neural network, Fault prognosis, Main bearing, SCADA data, Wind turbineAutores:Ángel Encalada-Dávila, Bryan Puruncajas, Christian Tutivén Gálvez, Vidal Y.Fuentes:scopusEarly Detection of Main Bearing Damage in Wind Turbines
ArticleAbstract: According to the European Wind Energy Academy (EAWE), the wind industry has recognized that main beaPalabras claves:Fault Detection, GRU neural networks, Main bearing, SCADA data, Wind turbineAutores:Ángel Encalada-Dávila, Christian Tutivén Gálvez, Moyón L., Vidal Y.Fuentes:googlescopusEarly Fault Diagnosis Strategy for WT Main Bearings Based on SCADA Data and One-Class SVM
ArticleAbstract: To reduce the levelized cost of wind energy, through the reduction in operation and maintenance costPalabras claves:Anomaly detection, condition monitoring, Condition-Based Maintenance, Fault diagnosis, Main bearing, One-Class Support Vector Machine, pbkp_redictive maintenance, SCADA data, Wind turbineAutores:Achicanoy W., Christian Tutivén Gálvez, Insuasty A., Lorena Campoverde-Vilela, Vidal Y.Fuentes:scopusMain Bearing Fault Prognosis in Wind Turbines based on Gated Recurrent Unit Neural Networks
ArticleAbstract: The transition from onshore to offshore wind farms is an imminent fact in the future. It supposes toPalabras claves:Fault prognosis, GRU neural networks, Main bearing, SCADA data, Wind turbineAutores:Ángel Encalada-Dávila, Bryan Puruncajas, Christian Tutivén Gálvez, Moyón L., Vidal Y.Fuentes:googlescopusScada data-driven wind turbine main bearing fault prognosis based on one-class support vector machines
ArticleAbstract: This work proposes a fault prognosis methodology to pbkp_redict the main bearing fault several monthPalabras claves:Fault prognosis, Main bearing, SCADA data, Wind turbineAutores:Christian Tutivén Gálvez, Insuasty A., Vidal Y.Fuentes:googlescopusWind turbine multi-fault detection based on scada data via an autoencoder
ArticleAbstract: Nowadays, wind turbine fault detection strategies are settled as a meaningful pipeline to achieve rePalabras claves:Autoencoder, Multi-Fault Detection, Normality Model, SCADA data, Wind turbineAutores:Ángel Encalada-Dávila, Bryan Puruncajas, Christian Tutivén Gálvez, Vidal Y.Fuentes:googlescopus