Maintenance cost optimization for multiple components using a condition based method

L. R. Rodrigues, I. Medeiros, C. Kern
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引用次数: 10

Abstract

Since maintenance planning directly affect the availability and the lifecycle cost of components and systems, it has become a topic of great interest among researchers and industry practitioners in recent years. Preventive maintenance techniques can be adopted in order to determine a convenient maintenance schedule, reducing the number of unexpected failure events. The implementation of a preventive maintenance approach may also provide other benefits such as increase in equipment availability, reduction in maintenance costs and increase in equipment lifetime. In this scenario, the application of PHM (Prognostics and Health Monitoring) techniques can be thought as a powerful tool to support the implementation of a CBM (Condition Based Maintenance) approach. The problem of CBM optimization can be formulated as finding the optimum maintenance schedule for a set of components so that the average maintenance cost per unit of time is minimized. In this paper, a maintenance cost optimization method for multiple components is presented. The proposed method uses information on the health condition of each component and takes into account the economic benefits of repairing multiple components at the same time instead of scheduling maintenance interventions for different components in different time instants, based on individual optimization recommendations. A numerical example is presented to illustrate the application of the proposed method.
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基于工况的多部件维修成本优化方法
由于维护计划直接影响组件和系统的可用性和生命周期成本,因此近年来已成为研究人员和行业从业者非常感兴趣的话题。可以采用预防性维护技术,以确定方便的维护计划,减少意外故障事件的数量。预防性维护方法的实施还可以提供其他好处,如增加设备可用性,减少维护成本和延长设备使用寿命。在这种情况下,可以将PHM(预后和健康监测)技术的应用视为支持实施CBM(基于状态的维护)方法的强大工具。CBM优化问题可以表述为寻找一组部件的最佳维修计划,使单位时间内的平均维修成本最小化。提出了一种多部件维修成本优化方法。该方法利用每个部件的健康状况信息,考虑同时维修多个部件的经济效益,而不是基于单个优化建议在不同的时间点对不同的部件进行维修干预。最后通过数值算例说明了该方法的应用。
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