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高速列车牵引传动系统仿真可信度评估方法

Credibility Evaluation Method for Simulation of High-speed Train Traction and Drive System
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摘要 针对高速列车牵引传动系统仿真信号的特点,利用Prony变换提取信号的频率、幅值、阻尼和能量等特征,分别构造残差、频率、幅值和阻尼相似度来度量仿真信号与实际信号的差异;将评估指标的可信度分为整体可信度和特征可信度,综合考虑两种可信度,给出了指标可信度的量化模型;使用群组AHP方法确定可信度指标权重,降低了确权的主观性,使可信度指标的权重更加客观合理;形成了一套定性和定量分析相结合的综合仿真可信度评估方法。将本文方法运用到CRH2型动车组牵引传动系统的无故障和故障注入仿真实验,结果证明了本文方法的合理性、有效性和实用性。 Aiming at the different characteristics of the simulation signals of the high-speed train traction and drive system,the Prony transform was used to extract the frequency,amplitude,damping and energy characteristics of the signal.The residual,frequency,amplitude and damping similarity models were constructed to measure the difference between simulation signal and actual signal.In this paper,the credibility of evaluation indicators was divided into overall credibility and feature credibility,whereby their quantification models were given based on these two kinds of credibility.The group AHP method was employed to confirm the credibility indicator weights,which reduced the subjective effect and resulted in more objective and reasonable weights.A novel simulation credibility evaluation method combining qualitative and quantitative analysis was formed.The method proposed in this paper was applied to the fault-free and fault injection simulation of the traction drive system of CRH2 Electric Multiple Units.The evaluation results prove the rationality and effectiveness of the proposal.
作者 李晟 彭小奇 彭涛 阳春华 LI Sheng;PENG Xiaoqi;PENG Tao;YANG Chunhua(School of Automation,Central South University,Changsha 410083,China;School of Science,Jiangxi University of Science and Technology,Ganzhou 341000,China;School of Information Science and Engineering,Hunan First Normal University,Changsha 410205,China)
出处 《铁道学报》 EI CAS CSCD 北大核心 2020年第1期15-23,共9页 Journal of the China Railway Society
基金 国家自然科学基金(61773407,61490702,61321003) 湖南省教育厅科学研究重点项目(13A016)
关键词 高速列车 牵引传动系统仿真 可信度评估 误差分析 群组AHP high-speed train traction and drive system simulation credibility evaluation error analysis group AHP
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