Research on remote fault diagnosis task decomposition and decision approach

Diagnosis task decomposition and results decision fusion are important issues in the process of remote fault diagnosis (RFD) for aircraft. In order to solve the problem, this paper presents the task decomposition and decision fusion method based on fault tree model. First, the diagnosis task is decomposed according to the fault tree minimal cut sets and diagnosed by the remote diagnosis resources. Then Dempster-Shafer (D-S) evidential theory is applied to the diagnosis results to make decision fusion. A case study for an avionics system is shown to demonstrate the diagnosis decomposition and result decision fusion process, which shows that the proposed method is effective and improves the RFD reliability.