摘要
简述了一种基于支持向量机(SVM)和证据理论的多传感器信息融合的方法,并构造了基于支持向量机的概率计算模型。利用齿轮箱的常见故障预测,对所建立的数学模型进行验证,计算结果显示基于SVM和证据理论的信息融合故障诊断方法,要比单一传感器故障诊断有更高的准确性。
This paper introduces the fault diagnosis based on the multi-sensor information fusion technology with supporting the vector machine（ SVM） and DS evidence theory,constructs the mathematical model. By an experiment on fault diagnosis of the axial piston pump,it shows that the accuracy of multi-sensor information fusion technology based on SVM and DS evidence theory is better than the traditional method.
出处
《山西电子技术》
2015年第4期44-46,共3页
Shanxi Electronic Technology
