Abstract
A fault diagnosis expert system of onboard power system and typical power distribution structure was designed for large-scale unmanned aerial vehicles (UAV), based on the test platform built with PXI bus and virtual instrument technology. By means of failure mode analysis and fault tree design, it is able to infer the cause of malfunction, locate fault location and propose solutions. In the system, a forward reasoning expert knowledge base on rule is built, in which a certainty factor was introduced to solve the non-exactinference in complex systems. Experiments of a UAV power supply system show that the proposed system can effectively improve the degree of intelligence of the test platform and meet the requirements of maintainability and supportability in the airborne system.
| Original language | English |
|---|---|
| Pages (from-to) | 1026-1030 |
| Number of pages | 5 |
| Journal | Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics |
| Volume | 39 |
| Issue number | 8 |
| State | Published - Aug 2013 |
Keywords
- Electric power system
- Expert system
- Fault diagnosis
- Unmanned aerial vehicles (UAV)
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