基于信道分解与特征融合的重参数航空发动机寿命预测
|
|
李兴羽,王海瑞,朱贵富
|
Reparameterized aero-engine remaining useful life prediction based on channel decomposition and feature fusion
|
|
Xingyu LI,Hairui WANG,Guifu ZHU
|
|
| 表 3 RUL预测性能比较 |
| Tab.3 Comparison of RUL prediction performance |
|
| 方法 | C-MAPSS | | FD001 | | FD002 | | FD003 | | FD004 | | ERMSE | KScore | | ERMSE | KScore | | ERMSE | KScore | | ERMSE | KScore | | BiGRU-TSAM[12] | 12.56 | 213.35 | | 18.94 | 2264.13 | | 12.45 | 232.86 | | 20.47 | 3610.34 | | AdaBN-DCNN[13] | 13.17 | 279.00 | | 20.86 | 2020.00 | | 14.97 | 817.00 | | 24.57 | 3690.00 | | TaFCN[14] | 13.99 | 336.00 | | 19.59 | 2650.00 | | 19.16 | 1727.00 | | 22.15 | 2910.00 | | KGHM[15] | 13.18 | 250.99 | | 13.25 | 1131.03 | | 13.54 | 333.44 | | 19.96 | 3356.10 | | RVE[16] | 13.42 | 323.82 | | 14.92 | 1379.17 | | 11.67 | 241.89 | | 16.37 | 1845.99 | | TATFA-Transformer[17] | 12.21 | 261.50 | | 15.07 | 1369.70 | | 11.23 | 210.21 | | 18.81 | 2506.35 | | 上述方法平均值 | 13.08 | 277.44 | | 17.105 | 1802.33 | | 13.95 | 593.73 | | 20.39 | 2986.46 | | 所提方法 | 11.58 | 224.78 | | 11.99 | 815.17 | | 12.05 | 315.78 | | 13.72 | 1025.29 | | 平均降低/% | 11.47 | 18.98 | | 29.90 | 54.77 | | 13.62 | 46.81 | | 32.71 | 65.67 |
|
|
|