International Journal of Aerospace Engineering / 2016 / Article / Tab 9

Research Article

Aero Engine Fault Diagnosis Using an Optimized Extreme Learning Machine

Table 9

Mean classification accuracy of operating point A condition.

MethodFault classes
C1C2C3C4C5C6C7C8

Q-ELM92.085791.810891.017890.023988.821186.333483.049081.7370
P-ELM90.002490.850291.114288.122386.706885.229580.514480.1667
G-ELM89.076391.003887.788888.223285.419083.932479.655378.3395
ELM85.868484.876183.497982.303581.654878.204676.172674.7309
SVM83.904785.894884.492283.276681.137774.679574.593874.1796
BP83.235482.282480.958879.811772.341171.908870.996968.4934