Artificial neural networks and fuzzy logic for fault detection in PV systems

Researchers in China have developed a fault detection method for PV systems that combines both neural networks and fuzzy logic principles within a single framework. It considers seven input variables and an output variable.Researchers from the Zhengzhou University in China have created a new electrical fault detection system for PV systems by using the Adaptive Neuro-Fuzzy Inference System (ANFIS) methodology, which is an artificial neural network (ANN) technology based on the so-called Takagi-Sugeno fuzzy inference system. The latter is a method to map an input to an output using fuzzy logic. ...

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