电测与仪表Issue(14)：97-103,7.
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
摘要
Abstract
The GA neural network method based on the phase space reconstruction is proposed for electrical perform-ance parameters prediction of the electromagnetic relays.The locus of electrical performance parameter series in high dimension space are reconstructed by using the phase space technique.The prediction model of the electrical perform-ance parameter series is built by means of fitting the reconstructed locus with the neural network trained with GA algo-rithm.The effects of reconstructed parameters on the locus and the prediction results are analyzed with the contact re-sistance parameter and arc energy of the electromagnetic relays.The proposed method has the ability to discover the degradation process of electrical performances for the relay in the high dimensional phase space and make full use of generalization of neural network, and therefore has the better precision of prediction.The experimental results show that the proposed method is feasible and effective.关键词
继电器/接触电阻/相空间重构/预测Key words
relay/contact resistance/phase space reconstruction/prediction分类
信息技术与安全科学引用本文复制引用
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,(14):97-103,7.基金项目
国家自然科学基金资助项目 （）
