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1. Corrosion Depth Prediction Based on SVM and Chaos | |||
LIANG Ping,RAO Guoran,LONG Xinfeng | |||
Security Science and Technology 10 February 2009 | |||
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Abstract:Pipeline of oil 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 models that based on the support vector machines and based on chaos were introduced in this paper. A real example was given in this paper, and the corrosion data were obtained by electricity probe. The predicted results shows that prediction has a more high precision. The prediction ways based the support vector machines and chaos are reasonable in the corrosion research, which can supply a scientific basis for pipeline safety management, service life prediction and repair. | |||
TO cite this article:LIANG Ping,RAO Guoran,LONG Xinfeng. Corrosion Depth Prediction Based on SVM and Chaos[OL].[10 February 2009] http://en.paper.edu.cn/en_releasepaper/content/28646 |
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