基于性能退化的复杂系统视情维修技术研究

Research on Condition-Based Maintenance of Complex System Based on Performance Degradation

针对当前传统维修手段给复杂系统带来的故障难以定位、维修过量或出现备品备件配置不合理、资源调度不及时、维修效率低等问题,研究了基于性能退化的复杂系统视情维修技术,梳理了预防性维修和修复性维修相综合的视情维修决策流程。以复杂系统性能退化数据为基础,提出了基于趋势滤波的故障早期预警模型和基于数据驱动的故障诊断模型,考虑了故障早期预警、故障诊断、维修决策等多方面因素,构建了基于性能退化的复杂系统视情维修技术架构,对复杂系统维修保障能力和作战能力的提升具有重要意义。

In view of the problems brought from current traditional maintenance method for complex system,such as the lack of maintenance,the excessive maintenance,the unreasonable allocation of spare parts,the belated deploying of support resources,and the low efficiency of maintenance.This paper studies the condition-based maintenance of complex system based on performance degradation,a decision process of CBM combing the preventive maintenance and corrective maintenance are combed.Based on the performance degradation date of complex system,the early fault warning model of trend filtering and the fault diagnosis model of data-driven are proposed.The aspects of early fault warning,fault diagnosis and maintenance decision are considered,a framework of the condition-based maintenance of complex system based on performance degradation is constructed.This has great significance for promoting the ability of maintenance support and combat to complex system.