改进支持向量机在汽车发动机故障诊断应用

Improved Support Vector Machine in Fault Diagnosis of Automobile Engine

基于BP神经网络、蝙蝠算法、支持向量机算法的对比,提出改进支持向量机的汽车发动机故障诊断方法,并验证了改进的算法,从而提升发动机故障诊断系统的性能。

Based on the comparison of BP neural network,bat algorithm and support vector machine algorithm,this paper proposes an improved support vector machine fault diagnosis method for automobile engine,and verifies the improved algorithm,so as to improve the performance of engine fault diagnosis system.