Research Article

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

Table 11

Accuracies (%) of classifiers obtained in experiment 5.

ClassifierNormalErraticDriftHardoverSpikeStuckTotal

DI-SVM82.2299.1693.3298.0599.1792.2193.89
SVM73.8995.8392.2195.8298.3289.7191.10
NN88.3288.6094.7189.7191.1094.7291.19
KNN61.3882.2176.3979.1781.3983.3277.30