| 基于贝叶斯网络的M型跨接管故障诊断方法研究 |
| |
| 引用本文： | 杨 文,王新亮,王江南,蔡宝平,黄 磊,王连杰.基于贝叶斯网络的M型跨接管故障诊断方法研究[J].石油矿场机械,2018,0(6):12-19. |
| |
| 作者姓名： | 杨 文 王新亮 王江南 蔡宝平 黄 磊 王连杰 |
| |
| 作者单位： | 1.中海油能源发展装备技术有限公司 深圳分公司,广东 深圳 518067;
2.中国石油大学(华东)机电工程学院,山东 青岛 266580; 3.玉门油田分公司机械厂,甘肃 酒泉 735200 |
| |
| 摘 要： | M型水下跨接管工作环境复杂,容易失效,且缺乏诊断数据,难以进行有效的故障诊断。提出了一种基于贝叶斯网络的M型跨接管故障诊断方法,并开发了一套M型水下跨接管故障诊断试验系统。该试验系统包含加载系统和数据采集系统,实现了对跨接管工作环境的模拟和故障数据的采集。利用ANSYS编写程序仿真,与试验情况进行对比。在此基础上,建立M型跨接管贝叶斯故障诊断网络,完成了对跨接管的诊断试验,效果良好。
|
| 关 键 词： | M型跨接管 贝叶斯网络 故障诊断 |
Research on Fault Diagnosis Method of M-shape Jumperbased on Bayesian Network |
| |
| YANG Wen,WANG Xinliang,WANG Jiangnan,CAI Baoping,HUANG Lei,WANG Lianjie.Research on Fault Diagnosis Method of M-shape Jumperbased on Bayesian Network[J].Oil Field Equipment,2018,0(6):12-19. |
| |
| Authors: | YANG Wen WANG Xinliang WANG Jiangnan CAI Baoping HUANG Lei WANG Lianjie |
| |
| Affiliation: | 1.Shenzhen Co., CNOOC EnerTech Equipment Technology Co., Ltd., Shenzhen 518067, China;
2.College of Mechanical and Electronic Engineering, China University of Petroleum, Qingdao 266580, China;
3.PetroChina Yumen Oilfield Company Machine Plant, Jiuquan 735200, China |
| |
| Abstract: | The subsea M-shape jumper is facing a complicated working environment and easily to be failed due to the lacking of diagnostic data. A M-shape subsea jumper fault diagnosis method and a fault diagnosis experimental system were developed based on Bayesian Network. The experiment system, which consists of a loading system and a data acquisition system, realized the simulation of jumper working environment and the collection of fault data. The ANSYS simulationprogram was applied to compare with the simulated the experimental conditions and a Bayesian fault diagnosis network of M-shape jumper has been established accordingly to implement the jumper diagnosis experiment with outstanding results. |
| |
| Keywords: | M-shape jumper Bayesian networks fault diagnosis |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《石油矿场机械》浏览原始摘要信息 |
|
点击此处可从《石油矿场机械》下载全文 |
|
