Optimization of on-condition thresholds for a system of degrading components with competing dependent failure processes
Optimization of on-condition thresholds for a system of degrading components with competing dependent failure processes
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DOI：
10.1016/j.ress.2019.106547
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发表时间：
2019-01
期刊：
影响因子：
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通讯作者：
N. Yousefi;D. Coit;S. Song;Q. Feng
中科院分区：
文献类型：
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作者：
N. Yousefi;D. Coit;S. Song;Q. Feng
一个优化模型已制定和解决，以确定条件下的故障阈值和检查间隔的多组件系统，每个组件经历多个故障过程，由于同时暴露于退化和冲击载荷。在这个新的模型中，我们考虑的条件下的维护优化系统的退化组件，它提供了基于时间的预防性维护或更换故障政策的成本效益。对于退化组件的系统，这可能是一个特别困难的问题，因为相关的退化和相关的故障时间。在以前的研究中，已经考虑了预防性维护和定期检查模型;然而，对于由于故障而导致成本高的系统，避免故障事件是谨慎的，即，在故障发生之前，应修复或更换部件或系统。确定所有元件的最佳导通阈值，可以有效地避免故障并使成本最小化。低的接通条件阈值可能是低效的，因为它们浪费了组件的寿命，而高的接通条件阈值是有风险的，因为组件容易发生代价高昂的故障。在本文中，我们制定并解决了一个新的优化模型，以确定最佳的条件阈值和检查间隔。在我们的模型中，当系统被检查时，所有组件都被检查。检查间隔对于一个组件可能是最佳的，但对于另一个组件可能是不期望的，因此优化需要折衷。最后，通过几个算例说明了视情维修优化模型。
An optimization model has been formulated and solved to determine on-condition failure thresholds and inspection intervals for multi-component systems with each component experiencing multiple failure processes due to simultaneous exposure to degradation and shock loads. In this new model, we consider on-condition maintenance optimization for systems of degrading components, which offers cost benefits over time-based preventive maintenance or replace-on-failure policies. For systems of degrading components, this can be a particularly difficult problem because of the dependent degradation and dependent failure times. In previous research, preventive maintenance and periodic inspection models have been considered; however, for systems whose costs due to failure are high, it is prudent to avoid the event of failure, i.e., the components or system should be repaired or replaced the before the failure happens. The determination of optimal on-condition thresholds for all components is effective to avoid failure and to minimize cost. Low on-condition thresholds can be inefficient because they waste component's life, and high on-condition thresholds are risky because the components are prone to costly failure. In this paper, we formulated and solved a new optimization model to determine optimal on-condition thresholds and inspection intervals. In our model, when the system is inspected, all components are inspected at that time. An inspection interval may be optimal for one component, but might be undesirable for another component, so the optimization requires a compromise. The on-condition maintenance optimization model is demonstrated on several examples.