计算机与数字工程2013，Vol.41Issue(7)：1192-1195,4.DOI:10.3969/j.issn1672-9722.2013.07.046
废弃油井水下电火花切割机器人故障诊断研究
Fault Diagnosis Research of Submarine Electro Discharge Cutting Robot for Abandoned Oil Wellhead
孙冰 1蔡宝平 2张云卫 2范谦 2于示林2
作者信息
- 1. 中国石油大学(华东)计算机与通信工程学院 青岛266580
- 2. 中国石油大学(华东)机电工程学院 青岛266580
- 折叠
摘要
Abstract
Offshore oil industry develops rapidly,the decommission of offshore platform becomes more and more frequent,it is imperative to develop the technology and equipment for demolition.For this situation,a pipe cutting robot for subsea abandoned oil wells based on electro discharge machining is proposed.Use Bayesian network approach to fault diagnosis.First,the fault tree is built.Then,the fault tree into Bayesian work is tranformed respectively.At last the cause of the failure and their probability of occurrence are diagnosed and the importance of the various components based on the Netica software is determined.The result shows that this robot has high reliability and shouldpay attention to the research of Compensation Agency and the discharge gap detection circuits.关键词
电火花加工/海洋废弃油井/切割机器人/贝叶斯网络/故障诊断Key words
electro discharge machining/subsea abandoned oil wells/pipe cutting robot/Bayesian network/fault diagnosis分类
信息技术与安全科学引用本文复制引用
孙冰,蔡宝平,张云卫,范谦,于示林..废弃油井水下电火花切割机器人故障诊断研究[J].计算机与数字工程,2013,41(7):1192-1195,4.
