DOI: 10.15986/j.1006-7930.2020.03.014
针对过桥列车走行性评价中各评价指标数据测定的不确定性和随机性,在列车走行性综合评价中应用集对分析理论,首先分析测点实测数据与列车走行性评价指标之间的联系度,再根据联系度对各实测数据进行初步分类,然后进一步对初步分类的测点实测数据做综合联系度计算,判定列车走行性等级,并将信息论中的熵值理论引入评价模型确定各指标的权重,使权重的分配有了一定的理论依据.最后通过对一在不同车速下列车过桥的6组样本数据进行分析,用MATLAB编程计算得到,与传统等权重指标评价方法相比,基于熵权的集对分析模型概念清晰、准确度高、符合实际.
The theory of set pair analysis is applied to the comprehensive evaluation of train running performance in view of the uncertainty and randomness of data measurement of evaluation indexes in the evaluation of train running performance of bridge crossing.Firstly, the connection degree between the measured data of the measuring point and the evaluation index of train running was analyzed and then a preliminary classification, and a comprehensive connection calculation on the measured data of the preliminary classification of the measuring point,were also conducted in determining the train running level. The entropy value theory in information theory is introduced into the evaluation model to determine the weight of each index, so that the weight distribution has a certain theoretical basis.Finally, 6 sets of sample data of a vehicle passing through the bridge at different speeds were analyzed. Compared with the traditional equal weight index evaluation method, the evaluation result of the set pair analysis model based on entropy weight is more consistent with the reality, clearer and more accurate through the programming calculation of MATLAB.
