Machine Learning for Long Cycle Maintenance Prediction of Wind Turbine

Within Internet of Things (IoT) sensors, the challenge is how to dig out the potentially valuable information from the collected data to support decision making. This paper proposes a method based on machine learning to predict long cycle maintenance time of wind turbines for efficient management in...

Descripción completa

Detalles Bibliográficos
Autores principales: Yeh, Chia-Hung, Lin, Min-Hui, Lin, Chien-Hung, Yu, Cheng-En, Chen, Mei-Juan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6480000/
https://www.ncbi.nlm.nih.gov/pubmed/30965619
http://dx.doi.org/10.3390/s19071671

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6480000/
https://www.ncbi.nlm.nih.gov/pubmed/30965619
http://dx.doi.org/10.3390/s19071671

Ejemplares similares