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A health condition model for wind turbine monitoring through neural networks and proportional hazard models
Mazidi, Peyman; Du, Mian; Bertling Tjemberg, Lina; Sanz Bobi, Miguel Ángel (2017-10-01)In this paper, a parametric model for health condition monitoring of wind turbines (HCWT) is developed. The study is based on the assumption that a wind turbine’s (WT) health condition can be modeled through three features: ... -
A parameter selection method for wind turbine health management through SCADA data
Du, Mian; Yi, Jun; Mazidi, Peyman; Cheng, Lin; Guo, Jianbo (2017-02-01)More and more works are using machine learning techniques while adopting supervisory control and data acquisition (SCADA) system for wind turbine anomaly or failure detection. While parameter selection is important for ... -
A performance and maintenance evaluation framework for wind turbines
Mazidi, Peyman; Du, Mian; Bertling Tjemberg, Lina; Sanz Bobi, Miguel ÁngelIn this paper, a data driven framework for performance and maintenance evaluation (PAME) of wind turbines (WT) is proposed. To develop the framework, SCADA data of WTs are adopted and several parameters are carefully ... -
An approach for evaluating the influence of accessibility on offshore wind power generation
Du, Mian; Yi, Jun; Mazidi, Peyman; Cheng, Lin; Guo, JianboFor offshore wind power generation, accessibility is one of the main factors that has great impact on operation and maintenance due to constraints on weather conditions for marine transportation. This paper presents a ...