Application of Gustafson-Kessel clustering algorithm in the pattern recognition for GIS
نویسندگان
چکیده
This paper simulates four typical defects in GIS for PD detection, and uses the pulse, amplitude, phase and number of PD to form the three-dimensional PQN matrix. Based on the PQN, three two-dimensional distributions of Hqmax~Phi, Hqmean~Phi and Hn~Phi can be achieved. Then the new G-K clustering method is introduced to separate the four different defects according to the parameters of Sk, Ku, Pe, Q and CC. At last the comparison with different clustering methods is achieved based on the evaluation criterions which are PC, CE, PI and SI. Streszczenie. W artykule zasymulowano cztery typowe defekty w łącznikach gazowych wynikające z wyładowań niezupełnych oraz wykorzystano amplitudę, fazę i liczbę impulsów do sformowania trzywymiarowej macierzy PQN. Następnie wykorzystano nową metodę klastrową do rozdzielenia różnych defektów na podstawie parametrów Sk, Ku, Pe,Q i CC. NasTMepnie przeprowadzono porównanie różnych metod. (Zastosowanie algorytmu klastrów Gustafsona-Kessela do rozpoznawania wzoru przy analizie rozdzielnic gazowych).
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