论文信息 - Research on Power Line Carrier Communication Quality Evaluation

Research on Power Line Carrier Communication Quality Evaluation

Testing standards are not well defined for power line carrier (PLC) communication yet, and there are no professional, systematic and comprehensive detection indicators that can measure and evaluate the quality of PLC communication. This paper proposed a PLC communication quality evaluation model, T-S fuzzy neural network model based on LBG learning algorithm. Simulation results revealed that the proposed model could precisely reflect the quality of the PLC communication.

Min Yu | Yu Zhang | Xin Yu Jin | Cheng Gang Xu

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