Research on Power Line Carrier Communication Quality Evaluation

Abstract:

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.

• Periodical: Advanced Materials Research (Volumes 314-316)
• Pages: 2221-2226
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.314-316.2221
• Online since: August 2011
• Authors: Min Yu, Cheng Gang Xu, Xin Yu Jin, Yu Zhang
• Keywords: LBG Learning Algorithm, PLC Communication, Quality Evaluation, T-S Fuzzy Neural Network Model

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