基于支持向量机的柴电混合动力故障诊断研究

The system level fault diagnosis of diesel electric hybrid power was studied. A real-time vehicle model was built by using the GT-Suite software to meet the accuracy requirements, and the diagnosis framework of diesel electric hybrid system based on support vector machine(SVM) was constructed. The one-verse-one(OVO) method was used to construct multiple classifiers, and the accuracy of fault recognition was 98%. The real-time simulation platform of diesel electric hybrid system fault diagnosis was constructed, and the fault diagnosis real-time simulation of diesel electric hybrid system based on SVM was carried out. Results show that the diagnosis algorithm based on support vector machine can effectively realize the multi fault concurrent mode diagnosis of hybrid system in real-time environment.