Research Article

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

Table 4

Accuracies (%) of classifiers obtained in experiment 1.

ClassifierNormalErraticDriftHardoverSpikeStuckTotal

SVM43.0585.5592.5095.8385.8383.3381.01
NN83.3363.0575.5586.1181.3883.3378.79
KNN70.8363.0582.7783.6192.5083.8879.44