机械系统的故障演化测试性建模及预计

发布时间：2018-10-13 18:15

【摘要】：采用部件级及系统级的分层建模思想,提出基于故障演化的测试性建模方法.在部件级,分析系统的故障演化机理,建立描述系统故障与征兆参数的定性相关性矩阵;在系统级,使用键合图的分析方法,建立系统中部件故障与子系统以及系统参数间的能量传递关系,进而获得征兆参数与测试间的动力学关系.在考虑故障可检测率、故障可隔离率的基础上,以故障可预测率以及故障可跟踪率分别描述系统对故障的检测、隔离、预测和跟踪的测试性水平.案例分析结果表明:故障与征兆参数的定性关系以及征兆参数与测试的动力学关系能准确刻画机械系统中故障演化与测试的关系,在此基础上提出的测试性预计方法能够有效评估机械系统对故障的检测、隔离、跟踪和预测能力,有助于提高机械系统对故障演化的跟踪和对失效的预测水平.
[Abstract]:Based on the idea of component-level and system-level hierarchical modeling, a testability modeling method based on fault evolution is proposed. At the component level, the fault evolution mechanism of the system is analyzed, and the qualitative correlation matrix is established to describe the system fault and symptom parameters, and at the system level, the bond graph analysis method is used. The energy transfer relationship between component faults and subsystems and system parameters is established, and the dynamic relationship between symptom parameters and test parameters is obtained. On the basis of considering fault detectability and fault isolation rate, the testability level of fault detection, isolation, prediction and tracking is described by fault predictability and fault traceability respectively. The result of case analysis shows that the qualitative relationship between fault and symptom parameter and the dynamic relation between symptom parameter and test can accurately describe the relationship between fault evolution and test in mechanical system. Based on this, the testability prediction method can effectively evaluate the capability of fault detection, isolation, tracking and prediction of mechanical system, and it is helpful to improve the level of fault evolution tracking and failure prediction of mechanical system.
【作者单位】：武警警官学院电子技术系;国防科学技术大学装备综合保障国防科技重点实验室;
【基金】：国家自然科学基金资助项目(61403408)
【分类号】：TH17

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