Paper Title:
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.

  Info
Periodical
Advanced Materials Research (Volumes 314-316)
Chapter
Digital Manufacture and Management
Edited by
Jian Gao
Pages
2221-2226
DOI
10.4028/www.scientific.net/AMR.314-316.2221
Citation
M. Yu, C. G. Xu, X. Y. Jin, Y. Zhang, "Research on Power Line Carrier Communication Quality Evaluation", Advanced Materials Research, Vols. 314-316, pp. 2221-2226, 2011
Online since
August 2011
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Price
$32.00
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