基于支持向量机的泵功图工况识别

支持向量机是基于小样本统计学习理论的分类算法,推广能力强。本文将支持向量机算法应用于泵功图模式识别,首先提取泵功图特征,再使用LibSVM工具箱对特征样本进行训练,建立分类器,并测试其分类能力,实验表明此方法可以应用于泵功图的模式识别。

Pumping Cards Recognition Based on Support Vector Machine

The support vector machine is a classification algorithm,which is based on the statistical learning theory and has a good classification ability for limited training samples.The algorithm of support vector machine is applied to pumping cards pattern recognition.Extracting pumping cards＇ features,then training these samples to build a classifier by LibSVM tool box,and test the classifier.Classification ability experiment shows that the method can be applied to pump diagram of pattern recognition.