Estimation of Failure Intensity and Maintenance Effect for Petrochemical Equipment

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Estimation of Failure Intensity and Maintenance Effect for Petrochemical Equipment

更新时间：2025-07-09

- Estimation of Failure Intensity and Maintenance Effect for Petrochemical Equipment
- Vol. 42, Issue 11, Pages: 1332-1335+1371(2008)
- 作者机构：
  
  西安交通大学能源与动力工程学院,西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC： TB114.3
- Online First：10 November 2008，
  
  Published：2008
- 稿件说明：
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Estimation of Failure Intensity and Maintenance Effect for Petrochemical Equipment[J]. 2008, 42(11): 1332-1335+1371.
DOI：

Estimation of Failure Intensity and Maintenance Effect for Petrochemical Equipment[J]. 2008, 42(11): 1332-1335+1371. DOI：

摘要

针对石化设备维修费用高、可靠性低、参数难以估计的问题

提出一种基于提高因子模型的可靠性参数估计方法.应用提高因子模型描述设备的非理想维修活动

根据维修记录构造多次故障的联合分布概率密度函数

采用遗传算法搜索该函数的最大值

提出参数估计的最大似然方法

并应用于连续重整装置中.研究结果表明

装置中的氢压缩机、汽轮机和三联合加热炉是系统中的可靠性薄弱环节

而氢压缩机、换热器、水冷器、分离器、高压吸收塔以及三联合加热炉的维修效果都可以认为是理想维修.

Abstract

An approach of reliability parameters estimation is proposed based on the improvement factor model in order to solve the problems of high maintenance cost

low reliability and difficult reliability parameters estimation for petrochemical equipment. The improvement factor model is applied to describe maintenance effect. The joint probability destiny function of successive failure events is proposed according to equipment maintenance records. Genetic algorithm is adopted to seek the maximum of the function to achieve the maximum likelihood estimation of the needed parameters. This approach is applied to a continuous reforming unit. The results show that the hydrogen compressor

vapor turbulence and combined furnace are the low reliability parts of this system

while the maintenance of hydrogen compressor

heat exchanger

water cooler

separator

high pressure absorption column and combined furnace can be considered as the perfect maintenances.

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references

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