نوع مقاله : مقاله پژوهشی
نویسندگان
گروه مهندسی برق، دانشکده فنی و مهندسی، دانشگاه اراک، اراک، ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
In this paper, an adaptive network fuzzy inference system (ANFIS) based on the Takagi-
Sugeno- Kang technique is used for predicting effective length of vertical rod buried in two-layer soils. The
rod is subjected to two typical lightning return stroke currents namely first and subsequent stroke currents.
To train the ANFIS approach, a number of input-output pairs are computed from the multi-conductor
transmission line method. The inputs are resistivity of the upper and lower layers, upper layer thickness and
rise time of the lightning current. After the training process is converged, prediction of effective length is
efficiently carried out in such soils. Also, comparative study with the horizontal electrode buried in twolayer
soils shows that in despite of single-layer soils, the effective length of vertical rod is considerably less
than that of horizontal electrode which is financially and practically of importance.
کلیدواژهها [English]
)