Research Article

A Novel Feature Selection Scheme and a Diversified-Input SVM-Based Classifier for Sensor Fault Classification

Table 5

Accuracies (%) of classifiers obtained in experiment 2.

ClassifierNormalErraticDriftHardoverSpikeStuckTotal

SVM40.8390.2784.4486.9493.3385.8380.27
NN83.3360.0071.1182.2277.2283.3376.20
KNN53.3381.6665.0083.0580.2783.3374.44