基于选择性深度神经网络集成的涡扇发动机剩余寿命预测

韩冬阳,林泽宇,郑宇,郑美妹,夏唐斌

Remaining useful life estimation of turbofan engine based on selective ensemble of deep neural networks

Dong-yang HAN,Ze-yu LIN,Yu ZHENG,Mei-mei ZHENG,Tang-bin XIA

表 9 是否选择集成过程结果比较

Tab.9 Comparison of results with or without ensemble process

方法 RMSE SCORE FD001 FD003 FD001 FD003 无选择过程 12.26 13.99 288.00 343.00 选择性集成 12.00 13.08 282.00 314.00