基于贝叶斯网络的惰气系统故障诊断  

Fault Diagnosis of Inert Gas Generator System Based on Bayesian Network

作　　者：姜明军[1] 鲁欣卫 朱鲁方 李海寿 张伟娜[1] 朱万林[1] 马国印 李晨安 JIANG Mingjun;LU Xinwei;ZHU Lufang;LI Haishou;Zhang Weina;ZHU Wanlin;MA Guoyin;LI Chen'an(Offshore Oil Engineering Co. ,Ltd. ,Tianjin 300451,China;Tianjin Branch,CNOOC China Limited,Tianjin 300451,China;China France Bohai Geoservices Co. ,Ltd. ,Tianjin 300451,China;Hefei General Machinery Research Institute Co. ,Ltd. ,Hefei 230031,China)

机构地区：[1]海洋石油工程股份有限公司,天津300451 [2]中海石油(中国)有限公司天津分公司,天津300451 [3]中法渤海地质服务有限公司,天津300451 [4]合肥通用机械研究院有限公司,合肥230031

出　　处：《自动化仪表》2022年第5期41-45,49,共6页Process Automation Instrumentation

摘　　要：随着我国海洋油气资源开发迈向深水,采油船加水下生产系统逐渐成为深水油气田开发的主要模式。惰气发生器系统(IGGS)是采油船上原油存储与外输的重要设备,关乎油气田开发的本质安全。针对传统IGGS故障诊断方法效率低、实用性差等问题,创新性地提出使用贝叶斯网络(BN)的方法。首先,基于对IGGS工作原理、组成结构、故障概率的分析,创建BN。其次,将故障状态作为证据融入BN进行证据推理并确定故障源。最后,结合贝叶斯软件Netica给出南海某采油船IGGS的故障诊断实例,验证了该方法的有效性。研究表明,该故障诊断方法可快速、准确地定位故障源,缩短非生产时间,同时也为海洋工程装备的故障诊断提供了新的思路。With the development of offshore oil and gas resources in China moving towards deep water,the subsea production system of oil recovent vessels has gradually become the main mode of deep-water oil and gas development.Inert gas generator system(IGGS)is an important equipment for crude oil storage and transportation on oil production ships,which is related to the essential safety of oil and gas development.Aiming at the problems of low efficiency and poor practicability of traditional fault diagnosis methods for IGGS,a new method using Bayesian network(BN)is proposed creatively.Firstly,the BN is established based on the analysis of the working principle,composition structure and failure probability of IGGS.Secondly,the fault state is integrated into BN as evidence for evidential reasoning and fault source is determined.Finally,a fault diagnosis example of IGGS of an oil production ship in the South China Sea is given based on Bayesian software Netica,and the effectiveness of the proposed method is verified.The results show that the fault diagnosis method can locate the fault source quickly and accurately and shorten the non-production time.At the same time,it also provides a new idea for the fault diagnosis of Marine engineering equipment.

关 键 词：采油船 惰气发生器系统 故障诊断 贝叶斯网络 Netica 

分 类 号：TH17[机械工程—机械制造及自动化]