This project forked from dou52885288/fault-detection
CVA-PLSR for detecing faults in wind turbines
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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