|本期目录/Table of Contents|

[1]宁志康,许述剑,刘曦泽,等.基于Bayesian网络的常减压装置设备故障概率分析[J].中国安全生产科学技术,2022,18(6):185-190.[doi:10.11731/j.issn.1673-193x.2022.06.028]
　NING Zhikang,XU Shujian,LIU Xize,et al.Fault probability analysis of atmospheric and vacuum distillation unit equipment based on Bayesian network[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2022,18(6):185-190.[doi:10.11731/j.issn.1673-193x.2022.06.028]
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基于Bayesian网络的常减压装置设备故障概率分析
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
18
期数:
2022年6期
页码:
185-190
栏目:
职业安全卫生管理与技术
出版日期:
2022-06-30

文章信息/Info

Title:
Fault probability analysis of atmospheric and vacuum distillation unit equipment based on Bayesian network
文章编号:
1673-193X(2022)-06-0185-06
作者:
宁志康; 许述剑; 刘曦泽; 许可; 屈定荣
（中石化安全工程研究院有限公司，山东 青岛 266104）
Author(s):
NING Zhikang;  XU Shujian;  LIU Xize;  XU Ke;  QU Dingrong
(SINOPEC Research Institute of Safety Engineering Co.,Ltd.,Qingdao Shandong 266104,China)
关键词:
设备故障; 失效模式; 常减压装置; Bayesian网络
Keywords:
equipment fault;  failure mode;  atmospheric and vacuum distillation unit;  Bayesian network
分类号:
X937
DOI:
10.11731/j.issn.1673-193x.2022.06.028
文献标志码:
A
摘要:
为分析影响常减压蒸馏装置平稳运行的设备失效模式及故障部件，基于1 151条设备故障数据，采用Bayesian网络分析方法，分别对离心泵、压缩机、电动机构建基于Bayesian网络的设备故障概率分析模型，分析故障部件、失效模式、故障后果之间的定量概率关系。研究结果表明：离心泵、压缩机、电动机停运的关键致因部件分别为轴承箱密封故障、活塞环故障、轴承故障，同时得到导致设备停运的故障部件敏感度排序。研究结果有助于提高设备故障风险防范及检维修工作效率，同时可为备件优化方案提供思路。
Abstract:
In order to analyze the equipment failure modes and fault components that affect the smooth operation of atmospheric and vacuum distillation unit,based on 1151 equipment fault data,the Bayesian network analysis method was used to construct the equipment fault probability analysis model based on Bayesian network for the centrifugal pump,compressor and motor,respectively,and the quantitative probability relationship between fault component,failure mode and fault consequence was analyzed.The results showed that the key components causing the shutdown of centrifugal pump,compressor and motor were the seal fault of bearing box,piston ring fault and bearing fault,respectively.At the same time,the sensitivity ranking of fault components causing the shutdown of equipment was obtained.The analysis results are helpful to improve the risk prevention of equipment fault and the efficiency of inspection and maintenance,and provide ideas for the optimization scheme of spare parts.

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备注/Memo

备注/Memo:
收稿日期： 2021-08-24
作者简介： 宁志康，硕士研究生，助理工程师，主要研究方向为设备可靠性分析与气体泄漏扩散仿真。
更新日期/Last Update: 2022-07-10