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首页> 外文会议>The 2008 International Symposium on Safety Science and Technology(2008年安全科学技术国际会议)论文集 >SVM Corrosion Depth Prediction on Safety Management in Pipeline of Oil and Gas
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SVM Corrosion Depth Prediction on Safety Management in Pipeline of Oil and Gas

机译：油气管道安全管理的SVM腐蚀深度预测

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摘要

Pipeline ofoil and gas have an increase risk because of pipeline punctures and rupture caused by corrosion. Therefore, it is very important to have a reliable way for pipeline corrosion prediction. The corrosion depth prediction that base on the support vector machines(SVM) was introduced in this paper, and the corrosion data were obtained by electricity probe. The predicted results shows that prediction has a more high precision, and the error is less than 5%, as well as the average error is 3.33%. The prediction ways based the support vector machines is reasonable in the corrosion research, which can supply a scientific basis for pipeline safety management, service life prediction and repair.
机译：由于腐蚀引起的管道穿刺和破裂，油气管道的风险增加。因此，拥有可靠的管道腐蚀预测方法非常重要。介绍了基于支持向量机（SVM）的腐蚀深度预测方法，并通过电探针获得了腐蚀数据。预测结果表明，预测精度更高，误差小于5％，平均误差为3.33％。基于支持向量机的预测方法在腐蚀研究中是合理的，可为管道安全管理，使用寿命预测和维修提供科学依据。

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