CAJ | 학술논문

提出了一种基于支持向量机（Support Vector Machines,SVM）的汽车预热器点火判别方法。通过构建燃烧传感器温度、温升速率、缸体温度的多输入二分类模型,可以对加热器点火过程进行快速可靠的判别。实验测试证实了该方法的可靠性,各项指标均优于国标要求。
제출료일충기우지지향량궤（Support Vector Machines,SVM）적기차예열기점화판별방법。통과구건연소전감기온도、온승속솔、항체온도적다수입이분류모형,가이대가열기점화과정진행쾌속가고적판별。실험측시증실료해방법적가고성,각항지표균우우국표요구。
A method for automobile preheat ignition judgment based on Support Vector Machine（SVM） is proposed.The multiple-inputs double-classification model is built with fire sensor temperature,temperature gradient and vat body temperature for quick and reliable judging the igniting process.Simulation results show that the method is reliable and the indexes can meet the national standard.