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EFFICIENT FAULT LOCATION IN UNDERGROUND DISTRIBUTION SYSTEMS THROUGH OPTIMUM-PATH FOREST

2012; Taylor & Francis; Volume: 26; Issue: 5 Linguagem: Inglês

10.1080/08839514.2012.674289

1087-6545

André N. Souza, Pedro da Costa, Paulo S. da Silva, Caio C. O. Ramos, João P. Papa,

Power System Reliability and Maintenance

In this article we propose an efficient and accurate method for fault location in underground distribution systems by means of an Optimum-Path Forest (OPF) classifier. We applied the time domains reflectometry method for signal acquisition, which was further analyzed by OPF and several other well-known pattern recognition techniques. The results indicated that OPF and support vector machines outperformed artificial neural networks and a Bayesian classifier, but OPF was much more efficient than all classifiers for training, and the second fastest for classification.