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Research on Power Line Carrier Communication Quality Evaluation

被引：1
|
作者：
Yu, Min [1 ]
Xu, Chenggang
Jin, Xinyu [1 ,2 ]
Zhang, Yu [1 ]
机构：
[1] Zhejiang Univ, Hangzhou 310003, Zhejiang, Peoples R China
[2] Bai Fu Co Ltd, Hangzhou, Zhejiang, Peoples R China
来源：
ADVANCED MANUFACTURING TECHNOLOGY, PTS 1-3 | 2011年 / 314-316卷
关键词：
PLC Communication; Quality Evaluation; LBG Learning Algorithm; T-S Fuzzy Neural Network Model;
D O I：
10.4028/www.scientific.net/AMR.314-316.2221
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
引用
收藏
页码：2221 / +
页数：2
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