Research on Power Line Carrier Communication Quality Evaluation

Abstract:

Article Preview

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)

Edited by:

Jian Gao

Pages:

2221-2226

DOI:

10.4028/www.scientific.net/AMR.314-316.2221

Citation:

M. Yu et al., "Research on Power Line Carrier Communication Quality Evaluation", Advanced Materials Research, Vols. 314-316, pp. 2221-2226, 2011

Online since:

August 2011

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.