支持向量机在船舶主机诊断中的应用

为了简化船舶主机故障诊断,提高诊断效率,文章采用了支持向量机的故障诊断原理,通过小波包分解提取信号的特征参数,再将特征量送入故障分类器中进行训练,即可得出诊断结果。当数据样本较少时,采用支持向量机与采用神经网络诊断相比,具有算法简单、故障分类能力强的优点。

Application of the Diagnosis by Support Vector Machine in Main Engine

In order to simplify the ship host fault diagnosis,and to improve the diagnostic efficiency,a support vector machine principle of fault diagnosis in this paper,through the wavelet packet decomposition extraction of signal characteristic parameters,the characteristic features into fault classifier in training Again,can draw a diagnosis.When data sample is small,the SVM(support vector machine) and using neural network diagnosis,it is characterized by the algorithm is simple,fault classification ability strong advantages.