Onshore wind turbine generator blade icing diagnosis method based on migration component analysis

• Main Authors: YAN JIE, MA LIANG, LI SHUO, TAO TAO, HAN SHUANG, LI LI, LIU YONGQIAN, CONG ZHIHUI
• Format: Patent
• Language: Chinese; English
• Published: 20.10.2020
• Subjects: BLASTING; HEATING; LIGHTING; MACHINES OR ENGINES FOR LIQUIDS; MECHANICAL ENGINEERING; OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR; PRODUCING MECHANICAL POWER; WEAPONS; WIND MOTORS; WIND, SPRING WEIGHT AND MISCELLANEOUS MOTORS

The invention discloses an onshore wind turbine generator blade icing diagnosis method based on migration component analysis. The method comprises the steps that S1, a model training data set is formed; S2, feature selection is carried out; S3, multiple iterations are carried out on the data processed through a migration component analysis method by adopting a machine learning algorithm to train awind turbine generator blade icing state diagnosis model; and S4, the online blade icing state diagnosis model is deployed and applied. According to the onshore wind turbine generator blade icing diagnosis method based on the migration component analysis, the migration component analysis method is adopted, so that edge probability distribution between a modeling unit and a target unit is minimized, and the distribution difference between data is reduced. The method is strong in generalization ability, can effectively reduce the difference between icing data of different units, and improves the diagnosis accuracy of w