| 油气管道缺陷检测的数据处理方法回顾与展望 |
| |
| 引用本文： | 郑贤斌,陈国明,袁超红. 油气管道缺陷检测的数据处理方法回顾与展望[J]. 压力容器, 2005, 22(10): 38-43 |
| |
| 作者姓名： | 郑贤斌 陈国明 袁超红 |
| |
| 作者单位： | 中国石油大学,机电工程学院,山东,东营,257061 |
| |
| 基金项目： | 高等学校博士学科点专项科研基金项目(20030425014)，中国石油大学优秀博士学位论文培育资助项目(B2005-9) |
| |
| 摘 要： | 油气管道缺陷检测中的数据处理方法主要包括传统的数据处理方法,如谱分析、统计分析,以及后来发展起来并广泛应用的小波分析、自适应滤波处理、支持向量机、人工神经网络、模式识别、数据融合等新方法。本文分析了各种用于管道缺陷检测的数据处理方法的优缺点,并指出当前研究中所存在的问题。最后探讨了这一领域中可能的发展方向。
|
| 关 键 词： | 油气管道 缺陷 检测 数据处理 |
| 文章编号： | 1001-4837（2005）10-0038-06 |
| 收稿时间： | 2005-05-16 |
| 修稿时间： | 2005-05-162005-05-28 |
A Review on Processing Approaches about Defect Data in Inspection of the Oil and Gas Pipeline |
| |
| ZHENG Xian-bin,CHEN Guo-ming,YUAN Chao-hong. A Review on Processing Approaches about Defect Data in Inspection of the Oil and Gas Pipeline[J]. Pressure Vessel Technology, 2005, 22(10): 38-43 |
| |
| Authors: | ZHENG Xian-bin CHEN Guo-ming YUAN Chao-hong |
| |
| Affiliation: | College of Mechanical and Electrical Engineering, China University of Petroleum, Dongying 257061, China |
| |
| Abstract: | The processing approaches about defect data in inspection of the oil and gas pipeline are reviewed,which comprise the traditional data processing,such as spectral analysis,statistical analysis,and wavelet analysis,adaptive filtering technique,statistical processing,support vector machine,artificial neural network,pattern reogntion,data fusion,et al,which are developed.After analyseing their advantages and disadvantages,the paper provides the problems of the processing approaches about defect data in inspection of the oil and gas pipeline.Finally,some research tendencies in this field are presented. |
| |
| Keywords: | oil and gas pipeline defect inspection data processing |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
