基于多通道振动主元特征的风电机组叶片自监督异常识别方法
Self-supervised anomaly recognition method for wind turbine blade based on multi-channel vibration principal features
基于多通道振动主元特征的风电机组叶片自监督异常识别方法 |
| 王博特,王卿,刘强,金波 |
|
Self-supervised anomaly recognition method for wind turbine blade based on multi-channel vibration principal features |
| Bote WANG,Qing WANG,Qiang LIU,Bo JIN |
| 图 4 风电机组正常行为模型 |
| Fig.4 Normal behavior model of wind turbine |
|
|