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[1]马钢 李俊飞 白瑞 戴政.基于PCA-SVR 模型的油气管道剩余强度预测[J].油气储运,2019,38(10):1119-1124.[doi:10.6047/j.issn.1000-8241.2019.10.007]
 MA Gang,LI Junfei,BAI Rui,et al.Prediction on the residual strength of oil and gas pipelines based onPCA-SVR model[J].Oil & Gas Storage and Transportation,2019,38(10):1119-1124.[doi:10.6047/j.issn.1000-8241.2019.10.007]
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基于PCA-SVR 模型的油气管道剩余强度预测

参考文献/References:

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相似文献/References:

[1]马钢 李俊飞 白瑞 戴政.基于PCA-SVR模型的油气管道剩余强度预测[J].油气储运,2019,38(04):1.
 MA Gang,LI Junfei,BAI Rui,et al.Prediction on the residual strength of oil and gas pipelines based on PCA-SVR model[J].Oil & Gas Storage and Transportation,2019,38(10):1.

备注/Memo

基金项目:国家自然科学基金资助项目“大型复杂天然气管道系统实时动态模型泄漏检测技术研究”,51274166;国家科技重大专项“煤层气地面集输管网动态仿真及调度技术研究”,2011ZX05062;国家863 计划项目“油气井、站场计算机辅助设计子系统”,863-306-ZD04-03;国家863 计划项目“石油工程师助手《PEPDA》”,863-306-ZD05-01;陕西省科技统筹创新工程项目“基于在线仿真的油气管网压力分布相关性分析泄漏检测技术研究”,221516001。
作者简介:马钢,男,1995 年生,在读硕士生,2017 年毕业于西安石油大学油气储运工程专业,现主要从事管道智能算法应用、管道安全评价技术的研究工作。地址:陕西省西安市雁塔区电子二路西安石油大学,710065。电话:13571995451。Email:mag.10@163.com
编辑:韩文超

更新日期/Last Update: 2019-10-25