基于几何过程的石化旋转机械维修优化研究

Study on Maintenance Optimization of Petrochemical Rotary Machinery Based on Geometric Process

旋转机械是石化生产中的核心设备,维修是保障其正常运行的重要手段。为了有效地降低维修成本,以单位时间内设备管理费用最低为目标,建立了适用于各种寿命分布的基于几何过程维修优化模型,对机械设备的最佳寿命周期进行预测。在模型中,首先以单调的几何过程为基础,得到了设备管理费用率的数学模型,然后引入蒙特卡罗仿真方法,最后编制了相应的MATLAB程序。为了验证该模型的有效性,以服从二参数威布尔分布的离心泵作为分析实例。

Rotary machinery is the core equipment in the petrochemical production. Maintenance is an important means to ensure the normal operation of rotary machinery. In order to effectively, cut down the maintenance cost, taking the least equipment management cost within unit time as the target, a maintenance optimization model based on monotonous geometric process was established, which can be applied to many types of life distribution and predict optimal life cycle of machinery. In this model, firstly, the cost rate model of equipment management was obtained on the basis of monotonous geometric process. And then, the Monte Carlo simulation method was introduced into this model. Finally, the simulation program was designed by the Matlab software. A centrifugal pump with Weibull distribution of two parameters was analyzed as a study case