基于多信号流图的大气数据系统故障诊断OACSTPCD

In order to solve the problem that the fault diagnosis of traditional UAV air data system depends on expert experience and the fault location is inaccurate,a fault diagnosis method of air data system based on multi-signal flow graph is proposed.By analyzing the composition structure,fault modes effects and criticality a-nalysis of the air data system,the testability analysis of the key components of the air data system of a certain UAV is carried out by using the multi-signal flow diagram method,and the fault-testing correlation matrix of the air data system is obtained.In order to solve the problem of slow diagnosis speed of the traditional real-time testability engineering and maintenance system(TEAMS-RT)algorithm,the TEAMS-RT algorithm is opti-mized.A matrix decomposition optimization(also known as Tree-RT)algorithm based on TEAMS-RT is pro-posed.On this basis,the fault injection test of air data system is carried out by using Tree-RT algorithm and testing consistency algorithm for D matrix respectively.The experimental results show that the diagnostic rate of the Tree-RT algorithm for the fault injection test is 94.62％,which is higher than the diagnostic rate of 85.73％based on the testing consistency algorithm.It proves the effectiveness of the multi-signal flow graph and the Tree-RT algorithm of the air data system,and provides technical support for the fault diagnosis related re-search of the UAV air data system.