基于相空间重构的电磁继电器电性能参数预测研究

陈丽; 唐圣学; 王景芹

陈丽,唐圣学,王景芹.基于相空间重构的电磁继电器电性能参数预测研究[J].电测与仪表,2015,52(14):.
chenli,Tang Shengxue,Wang Jingqin.Electrical performance parameters prediction of electromagnetic relay based on phase space reconstruction[J].Electrical Measurement & Instrumentation,2015,52(14):.

基于相空间重构的电磁继电器电性能参数预测研究

Electrical performance parameters prediction of electromagnetic relay based on phase space reconstruction

DOI：

中文关键词: 继电器接触电阻相空间重构预测

英文关键词:Relay contact resistance Phase space reconstruction prediction

基金项目:

作者中文名	作者英文名	单位
陈丽	chenli	河北工业大学电气工程学院
唐圣学	Tang Shengxue	河北工业大学电气工程学院
王景芹	Wang Jingqin	河北工业大学电气工程学院

摘要点击次数: 1835

中文摘要:

提出了基于相空间重构的电磁继电器电性能参数预测的GA神经网络方法。文中以接触电阻和燃弧能量性能参数为例，给出了电磁继电器的电性能参数序列的相空间重构方法，进而采用GA算法建立了基于神经网络的电性能参数序列预测模型。分析了模型参数对预测结果的影响，进而给出了最佳模型参数。该方法能从高维空间揭示电磁继电器的电性能参数退化过程，能取得较高的预测精度。实验结果表明，所提方法可行、有效。

英文摘要:

The GA neural network method based on the phase space reconstruction is proposed for electrical performance parameters prediction for the electromagnetic relays. This paper presents the phase space reconstruction method for the electrical performance parameter series of the electromagnetic relays by using the contanct resistance parameter and arc energy, and then builds the neural network prediction model of the electrical performance parameter series using genetic algorithm. The optimal prediction model parameters are given out by means of analyzing the parameter impacts on the prediction effects. The proposed method has the ability to discover the degradation process of electrical performances for the electromagentic relay in the high dimensional phase space and obtains the better precision of prediction. The experimental results show that the proposed method is feasible and effective.

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