基于支持向量机的抽油机故障诊断研究
he Research on Fault Diagnoses of Oil Pump Based On Support Vector Machine
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。
he 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.
刘铁男、李卓、刘斌
石油机械设备自动化技术、自动化技术设备计算技术、计算机技术
故障诊断支持向量机机器学习
Fault DiagnosisSupport Vector MachineMachine Learning
刘铁男,李卓,刘斌.基于支持向量机的抽油机故障诊断研究[EB/OL].(2005-11-15)[2025-07-19].http://www.paper.edu.cn/releasepaper/content/200511-209.点此复制
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