Assessment of Transmission Line Condition Based on Neural Networks and Fuzzy Logic Decision

Jin Ming Yao; Jun Jie Yang; Zhi Bin Lou

doi:10.4028/www.scientific.net/AMM.687-691.3137

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Assessment of Transmission Line Condition Based on...

Assessment of Transmission Line Condition Based on Neural Networks and Fuzzy Logic Decision

Abstract:

Accurate assessment of the operational status of transmission line,and the line status timely warning, can protect the stable operation of the transmission line. Not high accuracy assessment for the current state of the transmission line,assessment model of transmission line state based on neural networks and fuzzy logic decisions are put forward,built on online monitoring system, Considering the conductor temperature, angle, tension and other parameters.Using BP neural network convergence line fault membership values, and the output state is line fault probability. Then ,the uncertainty of the state probability output line integrated assessmen through Fuzzy Reasoning.

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Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

3137-3140

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.3137

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Online since:

November 2014

Authors:

Jin Ming Yao*, Jun Jie Yang, Zhi Bin Lou

Keywords:

BP Neural Network (BPNN), Failure Warning, Fault Membership Values, Fuzzy Logic Inferenc

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* - Corresponding Author

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