Assessment of Transmission Line Icing State Based on Multi-Sensor Information Fusion

Abstract:

Due to considerations limited for the current monitoring techniques and computational models and other reasons,the accuracy rate of line icing condition assessment is not high. Transmission line icing are affected by many factors, having greater relevance with micro-meteorological parameters. To improve the assessment accuracy of transmission line icing condition,multi-sensor information fusion method are put forward for a comprehensive assessment to Line icing state, based on online monitoring system,considering the equivalent ice thickness of monitoring system, micro-meteorological parameters and duration of ice cover.BP neural network convergence line icing membership value, the output state is cing probability. Then ,the probability of the state of uncertainty output line integrated assessmen through Fuzzy Reasoning

• Periodical: Applied Mechanics and Materials (Volumes 687-691)
• Pages: 3141-3144
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.687-691.3141
• Online since: November 2014
• Authors: Jin Ming Yao*, Jun Jie Yang, Zhi Bin Lou
• Keywords: BP Neural Network (BPNN), Fuzzy Logic, Icing Monitoring System, Inference, Information Fusion

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