CONDITION MONITORING OF WIND TURBINE PITCH SYSTEM USING DATA-DRIVEN APPROACH

Jin Xiaohang; Pan Hengtuo; Xu Zhengguo

doi:10.19912/j.0254-0096.tynxb.2020-0816

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (4) : 409-417. DOI: 10.19912/j.0254-0096.tynxb.2020-0816

Topics on Key Technologies for Safety of Electrochemical Energy Storage Systems and Echelon Utilization of Decommissioned Power Batteries

CONDITION MONITORING OF WIND TURBINE PITCH SYSTEM USING DATA-DRIVEN APPROACH

Jin Xiaohang^1,2, Pan Hengtuo¹, Xu Zhengguo³

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Abstract

To address the problems of a high false alarm rate and delayed fault alarm in supervisory control and data acquisition （SCADA） systems, an online condition monitoring method for wind turbine pitch system is proposed. Firstly, the parameters related to the pitch system are extracted from the SCADA data, and these parameters are reconstructed to extract the differential information between the blades. Secondly, the health boundary of the working status of pitch system is found based on the analysis of the historical data by using one-class support vector machine, and then the online health status of the pitch system can be assessed by judging whether the real-time data is within the health boundary. Finally, the effectiveness of the proposed method is verified by two actual engineering cases of the wind turbine’s pitch system.

Key words

wind turbines / SCADA system / condition monitoring / pitch system / one-class support vector machine

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Jin Xiaohang, Pan Hengtuo, Xu Zhengguo. CONDITION MONITORING OF WIND TURBINE PITCH SYSTEM USING DATA-DRIVEN APPROACH[J]. Acta Energiae Solaris Sinica. 2022, 43(4): 409-417 https://doi.org/10.19912/j.0254-0096.tynxb.2020-0816

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