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 5 FD001与FD003测试集分割后数据量

Tab.5 Data bulk of FD001 and FD003 test set

测试集名称 $ {\mathit{t}}_{\mathit{i}}\ge 120 $ $ 120 > {\mathit{t}}_{\mathit{i}}\ge 90 $ $ 90 > {\mathit{t}}_{\mathit{i}}\ge 60 $ $ 60 > {\mathit{t}}_{\mathit{i}}\ge 30 $ FD001 63 11 14 12 FD003 65 16 13 6