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| 基于BP神经网络的压气站风险评价方法 | |
| 引用本文： | 唐奕,范小霞,赵建,古小平. 基于BP神经网络的压气站风险评价方法[J]. 管道技术与设备, 2011, 0(2): 33-35,41 |
| 作者姓名： | 唐奕 范小霞 赵建 古小平 |
| 作者单位： | 1. 西南油气田分公司输气管理处,四川,成都,610203 2. 中石化西南油气田分公司川西采气厂 3. 内江市天然气总公司,四川,内江,641100 |
| 摘 要： | 压气站作为输气管网系统中的重要组成部分,在使用过程中会受到环境因素、腐蚀因素、防腐系统等因素的影响,在一定程度上增大了压气站的风险水平.文中借鉴国内压气站风险评价技术的基本思想和处理方法,结合国内压气站设计、施工、运行、维护的实际条件,根据人工神经网络的原理和方法,建立了BP神经网络风险评价模型.利用某输气公司提供的2... |
| 关 键 词： | 压气站 BP神经网络 风险评价 |
Compressor Station Risk Assessment Method Based on BP Neural Network |
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| TANG Yi,FAN Xiao-xia,ZHAO Jian,GU Xiao-ping. Compressor Station Risk Assessment Method Based on BP Neural Network[J]. Pipeline Technique and Equipment, 2011, 0(2): 33-35,41 | |
| Authors: | TANG Yi FAN Xiao-xia ZHAO Jian GU Xiao-ping |
| Affiliation: | TANG Yi1,FAN Xiao-xia1,ZHAO Jian2,GU Xiao-ping3(1.Gas TranP1ission Management Division,Southwest Oil&Gas Field Company,Chengdu 610203,China,2.Western SichuanGas Production & Deliver of Sinopec,Deyang 618000,Neijiang Natural Gas Corporation,Neijiang 641100,China) |
| Abstract: | As an important component in any gas pipe network system,compressor stations can be affected by environmental factors,corrosion factors and anti-corrosion systems etc,all of which will raise the risk of compressor stations to some extent.According to the relevant rules and regulations,combined with the practical design,construction,operation and maintenance conditions in China,based on the artificial neural network theory and methods,this paper builds up a risk assessment BP network model.After several time... |
| Keywords: | compressor station BP neural network risk assessment |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |