Overview of technical means of implementation of neuro-fuzzy-algorithms for obtaining the quality factor of electric power

摘要

Measurement of quality indicators of electric power is very comprehensive in terms of the calculation process, the situation is complicated by overlapping interference and the need to divide the interference before measuring specific indicators of quality of electric energy. Neural network and Fuzzy logic can be used as the means of data processing. This may allow to get rid of complex mathematical calculations on the signal processing stage having them at stage of network training. In this case, the question arises about the hardware implementation of neural networks and fuzzy logic.