基于支持向量机的柴油机故障诊断

Fault Diagnosis of Diesel Engine Based on Support Vector Machine

本文研究了基于支持向量机的故障诊断方法。以传感器检测数据为输入,利用v-支持向量分类机进行故障分类识别。通过对柴油机燃油压力波动信息和柴油机振动监测数据的处理分析,结果显示基于支持向量机的故障分类器能够在样本有限的情况下出色的完成多种故障的诊断分类。

The fault diagnosis method based on support vector machine（SVM） is studied in this paper.V-support vector classifier machine which input is sensor detection data is used for fault classification identification.The results of fault diagnosis of diesel engine fuel pressure fluctuations information and diesel engine vibration monitoring data showed that the fault diagnosis based on support vector machine classifier can excellently complete variety of breakdown classification in sample limited circumstances.