Classification of partial discharge events in GILBS using probabilistic neural networks and the fuzzy c-means clustering approach
To determining classification of partial discharge (PD) events in Gas Insulated Load Break Switches. Probabilistic neural networks and the fuzzy c-means clustering approach are used as the classification method. Experimental results validate that the proposed approach can effectively classify the PD events in GILBS.
partial discharge probabilistic neural networks fuzzy c-means clustering approach gas insulated load break switches discrete wavelet transform