[1]王艺斐,苏春,谢明江.基于二元逆高斯过程的腐蚀输油管道剩余寿命预测[J].东南大学学报(自然科学版),2020,50(6):1038-1044.[doi:10.3969/j.issn.1001-0505.2020.06.007]
　Wang Yifei,Su Chun,Xie Mingjiang.Remaining useful life prediction of corroded oil pipelines based on binary inverse Gaussian process[J].Journal of Southeast University (Natural Science Edition),2020,50(6):1038-1044.[doi:10.3969/j.issn.1001-0505.2020.06.007]
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基于二元逆高斯过程的腐蚀输油管道剩余寿命预测()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
50
期数:
2020年第6期
页码:
1038-1044
栏目:
能源与动力工程
出版日期:
2020-11-20

文章信息/Info

Title:
Remaining useful life prediction of corroded oil pipelines based on binary inverse Gaussian process
作者:
王艺斐; 苏春; 谢明江
东南大学机械工程学院, 南京 211189
Author(s):
Wang Yifei;  Su Chun;  Xie Mingjiang
School of Mechanical Engineering, Southeast University, Nanjing 211189, China
关键词:
输油管道;  二元逆高斯(IG)过程;  Copula函数;  剩余寿命(RUL)预测
Keywords:
oil pipeline;  binary inverse Gaussian(IG)process;  Copula function;  remaining useful life(RUL)prediction
分类号:
TE98
DOI:
10.3969/j.issn.1001-0505.2020.06.007
摘要:
考虑到输油管道随着服役时间的增加会出现不可逆转的性能退化,影响管道运行的安全性和可靠性,提出一种基于二元逆高斯(IG)过程的腐蚀输油管道剩余寿命(RUL)预测方法.首先,采用二元IG过程分别建立管道腐蚀深度和剩余强度2种性能退化量模型,得到基于管道腐蚀深度和剩余强度的RUL边缘概率密度函数;采用Copula函数建立双性能指标的管道RUL联合概率密度函数,采用期望值最大化(EM)算法估计模型参数,完成管道RUL预测.最后以某输油管道实际的腐蚀退化数据为例,验证所提出方法的可行性和有效性.结果表明:所提出方法的最大误差为10.7%,最小误差为2.2%,能够有效地预测管道RUL;采用IG过程预测管道寿命的误差相对较小,具有较高的预测精度.
Abstract:
In view of the irreversible performance degradation occurred with the increase of service time, affecting the safety and the reliability of the pipeline, a remaining useful life(RUL)prediction method for corroded oil pipelines based on binary inverse Gaussian(IG)process was proposed. First, two degradation models for the pipeline corrosion depth and the residual strength were established with the binary IG process, respectively, and the edge probability density function of the RUL of pipelines was obtained based on the corrosion depth and the residual strength. Then, the joint probability density function of the RUL of pipelines with double performance indexes was established by the Copula function, and the model parameters were estimated by the expectation maximization(EM)algorithm to complete the pipeline RUL prediction. Finally, taking the actual corroded degradation data of an oil pipeline as an example, the feasibility and the effectiveness of the proposed method were verified. The results show that the method has the maximum error of 10.7% and the minimum error of 2.2%, thus effectively predicting the RUL of pipelines. Moreover, the error of the pipeline life prediction with IG process is relatively small, having high prediction accuracy.

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备注/Memo

备注/Memo:
收稿日期: 2020-05-01.
作者简介: 王艺斐(1993—),男,博士生;苏春(联系人),男,博士,教授,博士生导师,suchun@seu.edu.cn.
基金项目: 国家自然科学基金资助项目(71671035, 72001039).
引用本文: 王艺斐,苏春,谢明江.基于二元逆高斯过程的腐蚀输油管道剩余寿命预测[J].东南大学学报(自然科学版),2020,50(6):1038-1044. DOI:10.3969/j.issn.1001-0505.2020.06.007.
更新日期/Last Update: 2020-11-20