Reduced Kernel Random Forest Technique for Fault Detection and Classification in Grid-Tied PV Systems

The random forest (RF) classifier, which is a combination of tree predictors, is one of the most powerful classification algorithms that has been recently applied for fault detection and diagnosis (FDD) of industrial processes. However, RF is still suffering from some limitations such as the noncorr... View More