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| 基于支持向量机的抽油机故障诊断研究 | |
| 引用本文： | 李卓,刘斌,刘铁男,任珍珍. 基于支持向量机的抽油机故障诊断研究[J]. 微计算机信息, 2006, 22(7): 209-211 |
| 作者姓名： | 李卓 刘斌 刘铁男 任珍珍 |
| 作者单位： | 1. 163318,黑龙江大庆,大庆石油学院,地球科学学院 2. 100318,黑龙江大庆,大庆石油学院,电气信息工程学院 3. 163318,黑龙江大庆,大庆石油学院外语系 |
| 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。 |
| 关 键 词： | 故障诊断 支持向量机 机器学习 |
| 文章编号： | 1008-0570(2006)03-1-0209-03 |
| 修稿时间： | 2005-08-06 |
The Research on Fault Diagnoses of Oil Pump Based On Support Vector Machine |
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| Li,Zhuo,Liu,Bin,Liu,Tienan,Ren,Zhenzhen. The Research on Fault Diagnoses of Oil Pump Based On Support Vector Machine[J]. Control & Automation, 2006, 22(7): 209-211 | |
| Authors: | Li Zhuo Liu Bin Liu Tienan Ren Zhenzhen |
| Abstract: | 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. |
| Keywords: | Fault Diagnosis Support Vector Machine Machine Learning |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |