检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:陈兴才[1] 杨勇[1] 刘超[1] 柳言国[1] 刘晶姝[1]
机构地区:[1]中国石油化工股份有限公司胜利油田分公司,山东东营257000
出 处:《石油化工腐蚀与防护》2013年第2期42-44,共3页Corrosion & Protection In Petrochemical Industry
摘 要:埋地管道泄漏往往会造成外防腐层及管体的破坏,在管道外防腐层破损等级评定的基础上对防腐层破损严重管段进行磁记忆检测,利用金属磁记忆技术可以有效检测管道泄漏、盗油点造成的应力集中区。对含有噪声的管道金属磁记忆检测数据,利用Daubechies小波进行垂直分量检测数据的降噪处理以提高信噪比,并应用Hilbert变换对分量数据进行数据分析提取泄漏点特征信号。某输油管道泄漏现场检测结果表明,该方法对管道泄漏点定位精度误差小于±1.0 m。The leakages of buried pipelines often lead to damages of protective coatings and pipeline body. On the basis of rating of damages of external anti - corrosion protection coating of pipelines, the damaged pipelines were inspected by metal magnetic memory technique, which could effectively detect the leakages and stress concentration zone. The metal magnetic memory technique is an effective method for detecting the stress concentration zone of pipeline. To improve the signal - to - noise ratio of magnetic signals, Daubechies wavelet was applied to denoise the magnetic signals containing noise. Furthermore, the Hilbert transformation was used to analyze the signals and obtain its information features. The detection results of a leaking pipeline segment show that the error of localization of leakage position is less than± 1.0 m.
分 类 号:TE973.6[石油与天然气工程—石油机械设备]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.145