基于粗糙集与支持向量机的无级变速器速比控制阀质量分类

Quality Classification of CVT Speed Ratio Control Valve Based on Rough Sets and Support Vector Machine

在提取无级变速器速比控制阀性能特征参数的基础上,提出了采用粗糙集和支持向量机相结合的质量分类方法。首先,基于粗糙集理论对特征参数集进行属性约简;然后,使用支持向量机分类器对速比控制阀进行质量分类。实验结果表明该方法的分类准确率能够达到93.6%,具有良好的工程应用价值。

Based on characteristic parameter extraction from the speed ratio control valve in continuously variable transmission （ CVT）, a quality classification scheme is proposed by using the combination of rough sets and support vector machine. Specifically, attribute reduction is performed on characteristic parameter sets first based on rough sets theory. Then, using support vector machine classifier to conduct quality classification on speed ratio control valve. The results show that the correctness rate of the proposed scheme attains 93.6%, being of great value in engineering application.