Design and Implementation of Fault Diagnosis Module Based on Neural Network in Certain ATS
Zhang Chongbin · Aerospace Control · 2011
The importance and flow of fault diagnosis in automatic test system(ATS) are presented.In the case of autopilot,the algorithms based on BP and RBF neural network function respectively are programmed to diagnose fault in the form of MATLAB scripts in LabVIEW.Then LabVIEW serves as a programming tool to develop a fault diagnosis interface for an ATS.The last step is to integrate scripts into LabVIEW codes for fault diagnosis of autopilot.The results of practical experiment show that the diagnosis interface of module is friendly and the neural network is trained well as well as the fault diagnosis can be achieved successfully.It notes that the proposed programming codes,fault diagnosis flow and module embrace universal characteristics can be applied to other ATSs.