… Using the interharmonic voltages as its features, a multi-class support vector machine identifies
the fault location within the faulty zone. Simulations are conducted on a test MG to obtain …

… Using the interharmonic voltages as its features, a multi-class support vector machine identifies
the fault location within the faulty zone. Simulations are conducted on a test MG to obtain …

… An interharmonic injection method is proposed to enable detection of fault location in meshed
microgrids. By appropriate selection of interharmonic amplitudes and proper design of the …

… Abstract—This paper presents a support vector machine (SVM)-based fault detection … To
enhance the precision of the fault location, triple interharmonic injection scheme was proposed …

… Also, in [22], a survey is given of the many artificial intelligence (AI) methods used in the
study of harmonics, including decision trees, support vector machines (SVM), FL, and ANNs. In …

… support vector machines and convolutional neural networks for fault detection in microgrids,
… in harmonic/interharmonic detection and monitoring techniques, fault detection, and …

… zone and non-faulty zone classification. The accuracy of the technique is analyzed with other
classifiers like support vector machine(… distribution feeders based on inter-harmonic current …

… (PCA - Principal Component Analysis), and classification by support vector machine (SVM). …
Mallick, “Interharmonics based high impedance fault detection in distribution systems using …

… High impedance fault detection and isolation in power distribution networks using support
vector machines. Journal of King Saud University - Engineering Sciences, 32(8), 524–535. …

… .0, that uses Procrustes analysis, and a support vector machine (… In this work, the interharmonic
injection takes eight cycles of … removing the interharmonic. Different setups related to the …