Research Article
Aero Engine Fault Diagnosis Using an Optimized Extreme Learning Machine
Table 6
Mean classification accuracy of operating point A condition.
| Method | Fault classes | C1 | C2 | C3 | C4 | C5 | C6 | C7 | C8 |
| Q-ELM | 93.33 | 93.55 | 91.75 | 90.45 | 90.05 | 88.56 | 85.26 | 84.95 | P-ELM | 90.48 | 93.61 | 92.32 | 89.23 | 90.44 | 87.73 | 83.05 | 82.60 | G-ELM | 92.35 | 93.04 | 90.17 | 89.36 | 88.24 | 88.03 | 84.69 | 83.50 | ELM | 89.09 | 87.56 | 87.52 | 86.90 | 85.27 | 84.42 | 81.16 | 78.33 | SVM | 89.03 | 88.67 | 84.96 | 85.15 | 85.68 | 85.02 | 80.54 | 79.63 | BP | 87.29 | 86.45 | 82.37 | 83.63 | 80.57 | 78.69 | 72.20 | 73.24 |
|
|