Static Calibration of Microelectromechanical Systems (MEMS) Accelerometers for In-Situ Wind Turbine Blade Condition Monitoring

Special Topics in Structural Dynamics, Volume 6 - Conference Proceedings of the Society for Experimental Mechanics Series ◽

10.1007/978-3-319-15048-2_9 ◽

2015 ◽

pp. 91-98 ◽

Cited By ~ 1

Author(s):

O. O. Esu ◽

J. A. Flint ◽

S. J. Watson

Keyword(s):

Wind Turbine ◽

Turbine Blade ◽

Condition Monitoring ◽

Microelectromechanical Systems ◽

Wind Turbine Blade ◽

Static Calibration ◽

Mems Accelerometers

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Reliability Analysis of Condition Monitoring Network of Wind Turbine Blade Based on Wireless Sensor Networks

IEEE Transactions on Sustainable Energy ◽

10.1109/tste.2018.2836664 ◽

2019 ◽

Vol 10 (2) ◽

pp. 549-557 ◽

Cited By ~ 5

Author(s):

Zhixin Fu ◽

Yang Luo ◽

Chenghong Gu ◽

Furong Li ◽

Yuan Yue

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Wind Turbine ◽

Reliability Analysis ◽

Turbine Blade ◽

Condition Monitoring ◽

Monitoring Network ◽

Wind Turbine Blade ◽

Wireless Sensor

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Comparative Study on Tree Classifiers for Application to Condition Monitoring of Wind Turbine Blade through Histogram Features Using Vibration Signals: A Data-Mining Approach

Structural Durability & Health Monitoring ◽

10.32604/sdhm.2019.03014 ◽

2019 ◽

Vol 13 (4) ◽

pp. 399-416 ◽

Cited By ~ 2

Author(s):

A. Joshuva ◽

V. Sugumaran

Keyword(s):

Data Mining ◽

Comparative Study ◽

Wind Turbine ◽

Turbine Blade ◽

Condition Monitoring ◽

Wind Turbine Blade ◽

Vibration Signals ◽

Data Mining Approach

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A lazy learning approach for condition monitoring of wind turbine blade using vibration signals and histogram features

Measurement ◽

10.1016/j.measurement.2019.107295 ◽

2020 ◽

Vol 152 ◽

pp. 107295

Author(s):

A. Joshuva ◽

V. Sugumaran

Keyword(s):

Wind Turbine ◽

Turbine Blade ◽

Condition Monitoring ◽

Wind Turbine Blade ◽

Learning Approach ◽

Lazy Learning ◽

Vibration Signals

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A data driven approach for condition monitoring of wind turbine blade using vibration signals through best-first tree algorithm and functional trees algorithm: A comparative study

ISA Transactions ◽

10.1016/j.isatra.2017.02.002 ◽

2017 ◽

Vol 67 ◽

pp. 160-172 ◽

Cited By ~ 23

Author(s):

A Joshuva. ◽

V Sugumaran.

Keyword(s):

Comparative Study ◽

Wind Turbine ◽

Turbine Blade ◽

Condition Monitoring ◽

Wind Turbine Blade ◽

Data Driven ◽

Vibration Signals ◽

Tree Algorithm ◽

Data Driven Approach

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Sensing Technique of Mass Imbalance for Condition Monitoring of Wind Turbine Blade

Journal of the Korea institute for structural maintenance inspection ◽

10.11112/jksmi.2011.15.1.209 ◽

2011 ◽

Vol 15 (1) ◽

pp. 209-214

Author(s):

Jong Won Lee

Keyword(s):

Wind Turbine ◽

Turbine Blade ◽

Condition Monitoring ◽

Wind Turbine Blade ◽

Mass Imbalance

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Transformation algorithm of wind turbine blade moment signals for blade condition monitoring

Renewable Energy ◽

10.1016/j.renene.2014.11.030 ◽

2015 ◽

Vol 79 ◽

pp. 209-218 ◽

Cited By ~ 19

Author(s):

Jae-Kyung Lee ◽

Joon-Young Park ◽

Ki-Yong Oh ◽

Seung-Hwan Ju ◽

Jun-Shin Lee

Keyword(s):

Wind Turbine ◽

Turbine Blade ◽

Condition Monitoring ◽

Wind Turbine Blade ◽

Transformation Algorithm

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Wind Turbine Blade Condition Monitoring and Damage Detection by Image-Based Method and Frequency-Based Analysis

2018 10th International Conference on Modelling, Identification and Control (ICMIC) ◽

10.1109/icmic.2018.8529879 ◽

2018 ◽

Author(s):

Jiansheng Yang ◽

Ling Zhao ◽

Zi-Qiang Lang ◽

Yang Zhang

Keyword(s):

Damage Detection ◽

Wind Turbine ◽

Turbine Blade ◽

Condition Monitoring ◽

Wind Turbine Blade

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Physical Interacting Aerial Robots for ‘In-Situ’ Inspection and Maintenance of Wind Turbine Blade

SSRN Electronic Journal ◽

10.2139/ssrn.3945115 ◽

2021 ◽

Author(s):

Hanieh Esmaeeli ◽

Ayham Alharbat ◽

Abeje Mershaa

Keyword(s):

Wind Turbine ◽

Turbine Blade ◽

Wind Turbine Blade ◽

Aerial Robots ◽

Inspection And Maintenance

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Transmissibility damage indicator for wind turbine blade condition monitoring

2015 21st International Conference on Automation and Computing (ICAC) ◽

10.1109/iconac.2015.7313651 ◽

2015 ◽

Cited By ~ 1

Author(s):

Long Zhang ◽

Ziqiang Lang ◽

Wen-Xian Yang

Keyword(s):

Wind Turbine ◽

Turbine Blade ◽

Condition Monitoring ◽

Wind Turbine Blade ◽

Damage Indicator

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Advances in wind turbine blade design and materials

10.1533/9780857097286 ◽

2013 ◽

Cited By ~ 18

Author(s):

Povl Brøndsted ◽

Rogier P. L. Nijssen

Keyword(s):

Wind Turbine ◽

Turbine Blade ◽

Wind Turbine Blade ◽

Blade Design ◽

Turbine Blade Design

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