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Testing of wind turbine towers using wireless sensor network and accelerometer

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  • Kilic, Gokhan
  • Unluturk, Mehmet S.

Abstract

Structural Health Monitoring (SHM) is commonly used in the health assessment of wind turbines. The system is installed during construction of the structure and consists of wired sensors connected to a central data acquisition unit via cables. In most cases, the data acquisition unit is located on the wind turbine itself. SHM is verified by comparison of results over time from wireless sensor systems. This study presents the Supervised Event Server Health Monitoring System (SESHMS) as a relatively simple, economical wireless system for use within the arena of structural health assessment.

Suggested Citation

  • Kilic, Gokhan & Unluturk, Mehmet S., 2015. "Testing of wind turbine towers using wireless sensor network and accelerometer," Renewable Energy, Elsevier, vol. 75(C), pages 318-325.
    • Handle: RePEc:eee:renene:v:75:y:2015:i:c:p:318-325
    DOI: 10.1016/j.renene.2014.10.010
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    References listed on IDEAS

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    1. Liu, Fushun & Li, Huajun & Li, Wei & Wang, Bin, 2014. "Experimental study of improved modal strain energy method for damage localisation in jacket-type offshore wind turbines," Renewable Energy, Elsevier, vol. 72(C), pages 174-181.
    2. Li, Cun-Bin & Chen, Hong-Yi & Zhu, Jiang & Zuo, Jian & Zillante, George & Zhao, Zhen-Yu, 2015. "Comprehensive assessment of flexibility of the wind power industry chain," Renewable Energy, Elsevier, vol. 74(C), pages 18-26.
    3. Soua, Slim & Van Lieshout, Paul & Perera, Asanka & Gan, Tat-Hean & Bridge, Bryan, 2013. "Determination of the combined vibrational and acoustic emission signature of a wind turbine gearbox and generator shaft in service as a pre-requisite for effective condition monitoring," Renewable Energy, Elsevier, vol. 51(C), pages 175-181.
    4. Pieraccini, Massimiliano & Parrini, Filippo & Fratini, Matteo & Atzeni, Carlo & Spinelli, Paolo, 2008. "In-service testing of wind turbine towers using a microwave sensor," Renewable Energy, Elsevier, vol. 33(1), pages 13-21.
    5. García Márquez, Fausto Pedro & Tobias, Andrew Mark & Pinar Pérez, Jesús María & Papaelias, Mayorkinos, 2012. "Condition monitoring of wind turbines: Techniques and methods," Renewable Energy, Elsevier, vol. 46(C), pages 169-178.
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    Citations

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    Cited by:

    1. Fan, Xiao-chao & Wang, Wei-qing, 2016. "Spatial patterns and influencing factors of China׳s wind turbine manufacturing industry: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 482-496.
    2. Ram Avtar & Netrananda Sahu & Ashwani Kumar Aggarwal & Shamik Chakraborty & Ali Kharrazi & Ali P. Yunus & Jie Dou & Tonni Agustiono Kurniawan, 2019. "Exploring Renewable Energy Resources Using Remote Sensing and GIS—A Review," Resources, MDPI, vol. 8(3), pages 1-23, August.
    3. Liu, Wenyi, 2016. "Design and kinetic analysis of wind turbine blade-hub-tower coupled system," Renewable Energy, Elsevier, vol. 94(C), pages 547-557.
    4. Jijian Lian & Ou Cai & Xiaofeng Dong & Qi Jiang & Yue Zhao, 2019. "Health Monitoring and Safety Evaluation of the Offshore Wind Turbine Structure: A Review and Discussion of Future Development," Sustainability, MDPI, vol. 11(2), pages 1-29, January.
    5. Md Liton Hossain & Ahmed Abu-Siada & S. M. Muyeen, 2018. "Methods for Advanced Wind Turbine Condition Monitoring and Early Diagnosis: A Literature Review," Energies, MDPI, vol. 11(5), pages 1-14, May.
    6. Yu Hu & Jian Yang & Charalampos Baniotopoulos, 2020. "Repowering Steel Tubular Wind Turbine Towers Enhancing them by Internal Stiffening Rings," Energies, MDPI, vol. 13(7), pages 1-23, March.
    7. Krzysztof Tomczyk & Marek Sieja, 2020. "Analysis of the Accelerometer Input–Output Energy Distribution Based on the Upper Bound of Absolute Dynamic Error," Energies, MDPI, vol. 13(21), pages 1-14, November.

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