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

Qin Ling Zhang; Yang Liu; Peng Liang Sun

doi:10.4028/www.scientific.net/AMR.663.572

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 663Fault Diagnosis Expert System for Electric Power...

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

Abstract:

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.

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Periodical:

Advanced Materials Research (Volume 663)

Pages:

572-579

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.663.572

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Online since:

February 2013

Authors:

Qin Ling Zhang, Yang Liu, Peng Liang Sun

Keywords:

Electric Power System, Expert System, Fault Diagnosis, Unmanned Aerial Vehicle (UAV)

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References

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