基于支持向量机的抽油机故障诊断研究  

The Research on Fault Diagnoses of Oil Pump Based On Support Vector Machine

作　　者：李卓[1] 刘斌[2] 刘铁男[2] 任珍珍[3] 

机构地区：[1]大庆石油学院地球科学学院,黑龙江大庆163318 [2]大庆石油学院电气信息工程学院,黑龙江大庆163318 [3]大庆石油学院外语系,黑龙江大庆163318

出　　处：《微计算机信息》2006年第03S期209-211,共3页Control & Automation

摘　　要：与传统的故障诊断方法相比,基于支持向量机的故障诊断方法具有模型简单、分类能力强、推广能力好等特点。以油田生产中抽油机的常见故障诊断为例,表明了本文所提方案的有效性。The way of fault Diagnoses based on Support Vector Machine has a simple model compared with the traditional method. It also has great ability to classify, and the best generalization. The example is to diagnose the faults of the oil pump using the new way proposed in this paper. The practical application has proved the new way based on SVN is much more effective and accurate.

关 键 词：故障诊断 支持向量机 机器学习 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]