An integrated maintenance strategy of wind turbine based on statistic process control

Abstract

Aiming at the operation and maintenance (O&M) of wind farms, this paper proposes an integrated maintenance strategy based on statistical process control (SPC). The operating condition of the wind turbine is evaluated through the SPC scheme and used as an input for maintenance decisions. Meanwhile, the aging information of wind turbines would also be used to reduce the sensitivity of the maintenance model to faulty signals and improve the credibility of the maintenance programmer. Furthermore, a three-stage integrated maintenance strategy is introduced, and this paper proposes a new optimization objective based on the expected revenue ratio of the wind farm. The effectiveness of the proposed maintenance model is verified through a real wind farm case. The results show that the proposed method can reduce the maintenance cost and increase the profitability of the wind farm compared with the existing maintenance models.