基于多信号流图的亚跨超声速风洞故障诊断方法

A multi-signal flow graph-based fault diagnosis method for subsonic transonic wind tunnel

摘要:

为了在风洞系统发生故障时实现快速准确的诊断与定位,提出了基于多信号流图模型的风洞测试性建模方法。针对风洞结构复杂、解析建模困难等特点,首先通过分析系统组成与设备的功能结构对风洞进行了层次性划分,并根据实际运行中出现的故障情况得到了风洞关键设备的FMEA结果, 而后以FD-12亚跨超声速风洞为研究对象建立了系统的多信号流图模型,利用故障模式与测点对应关系建立了相关性矩阵,最后采用TEAMS-RT算法对系统的测试性水平进行了分析和评估,验证结果表明该方法对于风洞系统的测试性建模与故障诊断是有效的,为风洞系统健康管理相关研究提供了参考。

Abstract:

A testability modeling method based on the multi-signal flow graph model was proposed to deal with the fault diagnosis problems of the wind tunnel system. According to the system composition and the functional structure of devices, the wind tunnel is divided into different levels, and the FMEA results of devices in wind tunnel are obtained according to the failure cases in the actual operation. Then a multi-signal flow graph model of FD-12 wind tunnel was established, and the correlation matrix was constructed using the corresponding relationship between the failure mode and the measuring point. Finally, the TEAMS-RT algorithm was used to evaluate the testability level and fault diagnose capability of the established model. Results show that this method is effective for testability modeling and fault diagnosis of wind tunnel system.