Wireless communication architectures based on data aggregation for internal monitoring of large-scale wind turbines

Wireless networks are regarded as a promising candidate for condition monitoring systems of large-scale wind turbines due to the design flexibility, easy deployment, and reduced installation cost. This article investigates different data aggregation approaches of wireless-based architectures for the...

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Bibliographic Details
Main Authors: Mohamed A. Ahmed, Young-Chon Kim
Format: Article
Language:English
Published: Wiley 2016-08-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/1550147716662776
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Summary:Wireless networks are regarded as a promising candidate for condition monitoring systems of large-scale wind turbines due to the design flexibility, easy deployment, and reduced installation cost. This article investigates different data aggregation approaches of wireless-based architectures for the internal monitoring of a large-scale wind turbine. The main objective is to construct a wireless internal network inside the wind turbine nacelle, for collecting sensing data from different parts and transmitting the data to a remote control center through a wireless external network that serves the turbine towers of the wind farm. The proposed wireless network architectures consist of wireless sensor nodes, coordinator nodes, and a front-end device. The designs of the wireless-based architectures involve choices of physical components, sensor types, sampling rate, and data rate. Wi-Fi is a promising technology that is considered for the wind turbine internal network in this work. Through simulations, the network performance is evaluated with regard to end-to-end delay for different data aggregation approaches of wireless-based architectures.
ISSN:1550-1477