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作 者:陈忠华[1] 高浩宁 陈明阳 王喜利[1] 曲春利 CHEN Zhonghua;GAO Haoning;CHEN Mingyang;WANG Xili;QU Chunli(Faculty of Electrical and Control Engineering,Liaoning Technical University,Huludao 125105,China;State Grid Tangshan Fengnan Power Supply Company,Tangshan 063000,China)
机构地区:[1]辽宁工程技术大学电气与控制工程学院,辽宁葫芦岛125105 [2]国网冀北电力有限公司唐山市丰南区供电分公司,河北唐山063000
出 处:《电工电能新技术》2023年第9期55-64,共10页Advanced Technology of Electrical Engineering and Energy
基 金:辽宁省自然科学基金指导计划项目(2019-ZD-0034)。
摘 要:在铁路列车实际运行时,由于受电弓滑板与接触网导线的接触面粗糙,会产生摩擦振动。这种摩擦振动将对滑板的摩擦磨损造成严重影响,从而极大地缩短滑板的使用寿命。利用自制滑动电接触试验机,在变化的工况下探究了摩擦振动加速度对于弓网摩擦磨损的影响。实验结果表明摩擦振动是导致滑板磨耗的要素,不同工况下摩擦振动对摩擦磨损的影响也有所不同。为了提高预测准确率,本文采用鲸鱼算法(WOA)改进随机森林(RF)模型,并构建以摩擦振动加速度为自变量、磨损率为因变量的回归模型。结果表明,经过WOA改进后的模型在磨损率预测方面具有较好的性能,为相应领域提供重要参考价值。During the actual operation of railway trains,friction vibration may occur due to the rough contact surface between the pantograph sliding plate and the overhead contact wire.This frictional vibration will have a serious impact on the friction and wear of the skateboard,thereby greatly shortening its service life.Using a self-made sliding electric contact testing machine,the effect of frictional vibration acceleration on the friction and wear of the pantograph and catenary was investigated under changing working conditions.The experimental results indicate that frictional vibration is a factor leading to sliding plate wear,and the impact of frictional vibration on frictional wear varies under different working conditions.In order to improve the prediction accuracy,this paper uses the whale optimization algorithm(WOA)to improve the random forest(RF)model,and constructs a regression model with friction vibration acceleration as the independent variable and wear rate as the dependent variable.The results indicate that the model improved by WOA has good performance in predicting wear rate,providing important reference value for corresponding fields.
分 类 号:U225[交通运输工程—道路与铁道工程]
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