Health Monitoring and Diagnosis System for a Small H-Type Darrieus Vertical-Axis Wind Turbine
As the wind power market grows rapidly, the importance of technology for real-time monitoring and diagnosis of wind turbines is increasing. However, most of the developed technologies and research mainly focus on large horizontal-axis wind turbines, and research conducted on small- and medium-sized...
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MDPI AG
2021
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oai:doaj.org-article:5e6adb40b3274888ae54458bf09722382021-11-11T16:00:24ZHealth Monitoring and Diagnosis System for a Small H-Type Darrieus Vertical-Axis Wind Turbine10.3390/en142172461996-1073https://doaj.org/article/5e6adb40b3274888ae54458bf09722382021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7246https://doaj.org/toc/1996-1073As the wind power market grows rapidly, the importance of technology for real-time monitoring and diagnosis of wind turbines is increasing. However, most of the developed technologies and research mainly focus on large horizontal-axis wind turbines, and research conducted on small- and medium-sized wind turbines is rare. In this study, a novel low-cost and real-time health monitoring and diagnosis system for the small H-type Darrieus vertical axis wind turbine is proposed. Turbine operating conditions were classified into parked/idle and power production. In the case of the power production condition, abnormality diagnosis was performed using key monitoring parameters, including vibration, fundamental frequency, the bending stress of the tower and generator vibration. The turbine abnormalities were diagnosed in two stages by applying the alert and alarm limits, determined by referring to international standards and material properties and the long-term measurement data together.Sungmok HwangCheol YooMDPI AGarticlesmall wind turbineH-type Darrieusvertical-axis wind turbinehealth monitoringdiagnosisTechnologyTENEnergies, Vol 14, Iss 7246, p 7246 (2021) |
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small wind turbine H-type Darrieus vertical-axis wind turbine health monitoring diagnosis Technology T |
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small wind turbine H-type Darrieus vertical-axis wind turbine health monitoring diagnosis Technology T Sungmok Hwang Cheol Yoo Health Monitoring and Diagnosis System for a Small H-Type Darrieus Vertical-Axis Wind Turbine |
description |
As the wind power market grows rapidly, the importance of technology for real-time monitoring and diagnosis of wind turbines is increasing. However, most of the developed technologies and research mainly focus on large horizontal-axis wind turbines, and research conducted on small- and medium-sized wind turbines is rare. In this study, a novel low-cost and real-time health monitoring and diagnosis system for the small H-type Darrieus vertical axis wind turbine is proposed. Turbine operating conditions were classified into parked/idle and power production. In the case of the power production condition, abnormality diagnosis was performed using key monitoring parameters, including vibration, fundamental frequency, the bending stress of the tower and generator vibration. The turbine abnormalities were diagnosed in two stages by applying the alert and alarm limits, determined by referring to international standards and material properties and the long-term measurement data together. |
format |
article |
author |
Sungmok Hwang Cheol Yoo |
author_facet |
Sungmok Hwang Cheol Yoo |
author_sort |
Sungmok Hwang |
title |
Health Monitoring and Diagnosis System for a Small H-Type Darrieus Vertical-Axis Wind Turbine |
title_short |
Health Monitoring and Diagnosis System for a Small H-Type Darrieus Vertical-Axis Wind Turbine |
title_full |
Health Monitoring and Diagnosis System for a Small H-Type Darrieus Vertical-Axis Wind Turbine |
title_fullStr |
Health Monitoring and Diagnosis System for a Small H-Type Darrieus Vertical-Axis Wind Turbine |
title_full_unstemmed |
Health Monitoring and Diagnosis System for a Small H-Type Darrieus Vertical-Axis Wind Turbine |
title_sort |
health monitoring and diagnosis system for a small h-type darrieus vertical-axis wind turbine |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/5e6adb40b3274888ae54458bf0972238 |
work_keys_str_mv |
AT sungmokhwang healthmonitoringanddiagnosissystemforasmallhtypedarrieusverticalaxiswindturbine AT cheolyoo healthmonitoringanddiagnosissystemforasmallhtypedarrieusverticalaxiswindturbine |
_version_ |
1718432416400408576 |