Table 9 Comparison of ACC, Recall, and F1 scores of different models.
From: Fault diagnosis using ISMA to optimize SVM parameters for aircraft engine damage repair
Model | C-MAPSS | Self-built simulation dataset | ||||
|---|---|---|---|---|---|---|
Pg | rg | fg | Pg | rg | fg | |
RF | 0.8483 | 0.8276 | 0.8034 | 0.9200 | 0.9167 | 0.9168 |
ELM | 0.7486 | 0.7241 | 0.7045 | 0.9056 | 0.9038 | 0.9043 |
CNN | 0.9128 | 0.8966 | 0.8980 | 0.9356 | 0.9295 | 0.9300 |
LSTM | 0.8943 | 0.8966 | 0.8892 | 0.9235 | 0.9231 | 0.9228 |
SVM | 0.8431 | 0.7586 | 0.7197 | 0.9151 | 0.9102 | 0.9106 |
WOA-SVM | 0.9159 | 0.8966 | 0.8880 | 0.9433 | 0.9391 | 0.9396 |
SMA-SVM | 0.9404 | 0.9310 | 0.9286 | 0.9543 | 0.9519 | 0.9523 |
ISMA-SVM | 0.9724 | 0.9655 | 0.9650 | 0.9679 | 0.9647 | 0.9644 |
