Fault Diagnosis in Power Distribution Network Using Adaptive Neuro-Fuzzy Inference System (ANFIS)

Fault disturbances classification analysis using adaptive neuro-fuzzy inferences system

“…Inputs: Extracted data using S-transform method [12] Classify and Analyze all fault disturbances using ANFIS…”

“…ANFIS technique has been considered in this work because it had been stated as one of the simplest and has a well-defined mathematical model technique to determine the classification of fault [17][18][19]. It is a hybrid combination of Adaptive Neural Network (ANN) and Fuzzy Inference System (FIS) [12]. FIS use a membership mapping modeling of input to determine its output by a membership function parameters.…”

“…ANN function as a learning algorithm to the system which gives fast convergence and more accurate in ANFIS target. ANN is adapted so that it can computes the membership function parameters that best allow the associated FIS to track the given input/output data since the FIS only applied to only modeling systems whose rule structure is essentially predetermined by the user's interpretation [12]. addition, ANFIS is applied in this work because it give a high precision, easy, and effective technique [12,13].…”

“…The Adaptive Network-based Fuzzy Inference System (ANFIS) introduced by Jang [13,14] is a well-known neural fuzzy controller with fuzzy inference capability had been implemented in various works [8][9][10][11][12]. ANFIS is based on fuzzy logic modeling and use ANN as the learning algorithm.…”

Intelligent Fault Diagnosis in a Power Distribution Network

“…A neurofuzzy means of fault classification, location, and power restoration plan in an electric power distribution system was developed in [7]. Three ANFIS modules were employed for fault type classification, -coordinates, andcoordinates of the fault location, respectively.…”