On-line status assessment of wind turbines based on improved fuzzy comprehensive evaluation method

[1]  Deyi Li,et al.  A new cognitive model: Cloud model , 2009 .

[2]  Liyan Qu,et al.  Quantitative Evaluation of Wind Turbine Faults Under Variable Operational Conditions , 2016 .

[3]  Zhe Chen,et al.  An improved fuzzy synthetic condition assessment of a wind turbine generator system , 2013 .

[4]  Lijun Yang,et al.  Forecasting dissolved gases content in power transformer oil based on weakening buffer operator and least square support vector machine–Markov , 2012 .

[5]  B. Stephen,et al.  Wind Turbine Condition Assessment Through Power Curve Copula Modeling , 2012, IEEE Transactions on Sustainable Energy.

[6]  Yang Xiyun,et al.  An operating condition fuzzy assessment strategy for large scale doubly-fed wind power generation system , 2014 .

[7]  Huiru Zhao,et al.  Risk Evaluation of a UHV Power Transmission Construction Project Based on a Cloud Model and FCE Method for Sustainability , 2015 .

[8]  Yan Li,et al.  Recursive integral proportional–integral control based on membership cloud for active power filter , 2014 .

[9]  Ming Cheng,et al.  Application of multi-class fuzzy support vector machine classifier for fault diagnosis of wind turbine , 2016, Fuzzy Sets Syst..

[10]  Sun Cai-xin,et al.  An Assessment Method for Insulation Condition of Power Transformer Based upon Cloud Model , 2012 .

[11]  Filippo Petroni,et al.  Reliability measures for indexed semi-Markov chains applied to wind energy production , 2013, Reliab. Eng. Syst. Saf..

[12]  Calculation of the number of states in binary Markov stochastic models , 2015 .

[13]  Guoyin Wang,et al.  Generic normal cloud model , 2014, Inf. Sci..

[14]  Xu Xiaoli,et al.  Application of the state deterioration evolution based on bi-spectrum entropy and HMM in wind turbine , 2016 .

[15]  Tomasz Barszcz,et al.  Application of Artificial Neural Network for Damage Detection in Planetary Gearbox of Wind Turbine , 2016 .