Fault Diagnosis Expert System for Electric Power System of the Large-scale UAVs Based on Virtual Instrument

摘要

In this paper, a test system hardware platform based on PXI bus system is proposed to test the airborne power system and typical power distribution structure of large-scale Unmanned aerial vehicles (UAV). By researching system structure, analyzing failure mode and designing fault tree, fault diagnosis expert system is designed to test the airborne power system in large-scale UAVs, where a forward reasoning expert knowledge base based on extension rule is built to solve the non-exact inference in complex system via introducing certainty factor. The experiments illustrate that the proposed system can effectively improve the intelligent level of test system and has good application prospects.