Machine Learning for Long Cycle Maintenance Prediction of Wind Turbine

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...

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Bibliographic Details
Main Authors: Chia-Hung Yeh, Min-Hui Lin, Chien-Hung Lin, Cheng-En Yu, Mei-Juan Chen
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Sensors
Subjects:
Internet of Things (IoT)
sensors
deep learning
data mining
long cycle maintenance
convolutional neural network
wind turbine
conditional monitoring
Online Access:https://www.mdpi.com/1424-8220/19/7/1671

Internet

https://www.mdpi.com/1424-8220/19/7/1671

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