Abstract
In this paper a method, based on the cointegration analysis of wind turbine SCADA data, is proposed to solve the problems such as misreporting and false alarm caused by affected by environmental effect in wind turbine SCADA system. Using cointegration theory to the wind turbine SCADA data will produce a stationary cointegration residual involving state information of wind turbine. Through analysis this residual can realize the wind turbine’s condition monitoring. The proposed method is using the experimental SCADA data as the research object what is acquired from a 1.5 MW DFIG under varying environmental and operational conditions in Gu Yang County, Bao Tou City, Inner Mongolia. A cointegration model was established using some of the nonstationary data and the model was validated with a set of known gearbox fault data. The result demonstrates that the proposed method can effectively restrain the response caused by environment and operation in SCADA data, accurately identify the running state of wind turbine, and simply and effectively realize the state monitoring of wind turbine.
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Zhang, B., Zhang, C., Duan, H., Ma, Y., Li, J., Cui, L. (2020). Realization of Condition Monitoring of Gear Box of Wind Turbine Based on Cointegration Analysis. In: Ball, A., Gelman, L., Rao, B. (eds) Advances in Asset Management and Condition Monitoring. Smart Innovation, Systems and Technologies, vol 166. Springer, Cham. https://doi.org/10.1007/978-3-030-57745-2_24
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DOI: https://doi.org/10.1007/978-3-030-57745-2_24
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