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Wind Turbine Condition Monitoring Based on SCADA Data Co-integration Analysis

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Proceedings of IncoME-VI and TEPEN 2021

Part of the book series: Mechanisms and Machine Science ((Mechan. Machine Science,volume 117))

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Abstract

A wind turbine condition monitoring method based on cointegration analysis is proposed. The co-integration residual obtained by the co-integration process of the SCADA data of the wind turbine is used for monitoring the operation state of the wind turbine. Take the experimental data of a 1.5 MW doubly-fed wind turbine from Jinjie Company in Baotou City, Inner Mongolia, under different environmental and operating conditions, and conduct experiments on the proposed method. The method was tested with known failure cases. The results show that this method can effectively monitor the running status of wind turbines.

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Acknowledgements

The authors are grateful to the support from the National Natural Science Foundation of China (No. 51965052) and Inner Mongolia Autonomous Region Science and Technology Plan Project (No. 2018KG007).

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Correspondence to Guanghan Zhao .

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Zhang, C., Zhao, G., Wu, Y. (2023). Wind Turbine Condition Monitoring Based on SCADA Data Co-integration Analysis. In: Zhang, H., Feng, G., Wang, H., Gu, F., Sinha, J.K. (eds) Proceedings of IncoME-VI and TEPEN 2021. Mechanisms and Machine Science, vol 117. Springer, Cham. https://doi.org/10.1007/978-3-030-99075-6_9

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  • DOI: https://doi.org/10.1007/978-3-030-99075-6_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-99074-9

  • Online ISBN: 978-3-030-99075-6

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