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fault-detection

这里利用了典型变量分析CVA和偏最小二乘回归PLSR对风电机组基准模型benchmark和真实机组结冰数据icing进行故障诊断;

data文件夹中包含了benchmark的7种故障类型f1,f2,f3,f5,f6,f7,f8,每个故障两个数据集和一组正常数据no2; icing故障有两个正常数据集normal,normal_t,故障数据集failure;

benchamrk_detection,icing_detection分别是对benchmark和真实机组诊断的主程序,其他都是子程序;

主程序中AlarmConfig是GUI交互程序,手动设置来计算门限值,误诊率和漏诊率

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CVA-PLSR for detecing faults in wind turbines

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