Communication network for remote monitoring of wind turbine based on infrared camera

Recently, numerous monitoring techniques have been proposed to detect the failure of wind turbine (WT). These techniques were developed based on embedded system with several sensors and complex cabling requirements. Therefore, an Infrared (IR)-camera can be considered an effective visual tool with a...

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Main Authors: Shahid Hussain, Young-Chon Kim
Format: Article
Language:English
Published: FRUCT 2017-04-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
Online Access:https://fruct.org/publications/fruct20/files/Hus.pdf
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spelling doaj-1ddbda67d450454a90e29c1ad6b3c6262020-11-25T00:13:23ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372017-04-0177620839010.23919/FRUCT.2017.8071296Communication network for remote monitoring of wind turbine based on infrared cameraShahid Hussain0Young-Chon Kim1Chonbuk National University, Jeonju, South KoreaChonbuk National University, Jeonju, South KoreaRecently, numerous monitoring techniques have been proposed to detect the failure of wind turbine (WT). These techniques were developed based on embedded system with several sensors and complex cabling requirements. Therefore, an Infrared (IR)-camera can be considered an effective visual tool with a large coverage area, high accuracy, reliability, and cost effectiveness. This paper proposes communication network architecture for remote monitoring of WT based on non-contact IR-cameras to detect the failures in real-time. Firstly, the feasibility study of various components such as electrical, mechanical and control system of WT which can be monitored through IR-camera was conducted. According to the feasibility study, the WT components are then prioritized into three different categories of high, low, and medium. According to the aforementioned categorization of WT components, three different types of IR-camera with a low, medium, and high resolution are used. The communication network is designed in two parts the internal communication network inside the WT and the external communication network between WT and remote control center. The amount of data traffic is numerically modeled with different parameters such as image resolutions, frame size, frame number, and data rates for the transmission of data. Since, the external communication network is usually shared by other sub-networks for different applications. This can lead the problem of high bandwidth demand and security issues. Therefore, different compression techniques such as MPEG-2 and H.264 are considered to evaluate the network performance. The communication network is modeled and simulated through OPNET. The simulation results show that the end-to-end delay of the IR-camera based monitoring can satisfy the IEEE 1646 standard timing requirements.https://fruct.org/publications/fruct20/files/Hus.pdf CommunicationNetworkWind turbineMonitoringSensor
collection DOAJ
language English
format Article
sources DOAJ
author Shahid Hussain
Young-Chon Kim
spellingShingle Shahid Hussain
Young-Chon Kim
Communication network for remote monitoring of wind turbine based on infrared camera
Proceedings of the XXth Conference of Open Innovations Association FRUCT
Communication
Network
Wind turbine
Monitoring
Sensor
author_facet Shahid Hussain
Young-Chon Kim
author_sort Shahid Hussain
title Communication network for remote monitoring of wind turbine based on infrared camera
title_short Communication network for remote monitoring of wind turbine based on infrared camera
title_full Communication network for remote monitoring of wind turbine based on infrared camera
title_fullStr Communication network for remote monitoring of wind turbine based on infrared camera
title_full_unstemmed Communication network for remote monitoring of wind turbine based on infrared camera
title_sort communication network for remote monitoring of wind turbine based on infrared camera
publisher FRUCT
series Proceedings of the XXth Conference of Open Innovations Association FRUCT
issn 2305-7254
2343-0737
publishDate 2017-04-01
description Recently, numerous monitoring techniques have been proposed to detect the failure of wind turbine (WT). These techniques were developed based on embedded system with several sensors and complex cabling requirements. Therefore, an Infrared (IR)-camera can be considered an effective visual tool with a large coverage area, high accuracy, reliability, and cost effectiveness. This paper proposes communication network architecture for remote monitoring of WT based on non-contact IR-cameras to detect the failures in real-time. Firstly, the feasibility study of various components such as electrical, mechanical and control system of WT which can be monitored through IR-camera was conducted. According to the feasibility study, the WT components are then prioritized into three different categories of high, low, and medium. According to the aforementioned categorization of WT components, three different types of IR-camera with a low, medium, and high resolution are used. The communication network is designed in two parts the internal communication network inside the WT and the external communication network between WT and remote control center. The amount of data traffic is numerically modeled with different parameters such as image resolutions, frame size, frame number, and data rates for the transmission of data. Since, the external communication network is usually shared by other sub-networks for different applications. This can lead the problem of high bandwidth demand and security issues. Therefore, different compression techniques such as MPEG-2 and H.264 are considered to evaluate the network performance. The communication network is modeled and simulated through OPNET. The simulation results show that the end-to-end delay of the IR-camera based monitoring can satisfy the IEEE 1646 standard timing requirements.
topic Communication
Network
Wind turbine
Monitoring
Sensor
url https://fruct.org/publications/fruct20/files/Hus.pdf
work_keys_str_mv AT shahidhussain communicationnetworkforremotemonitoringofwindturbinebasedoninfraredcamera
AT youngchonkim communicationnetworkforremotemonitoringofwindturbinebasedoninfraredcamera
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