TY - GEN
T1 - Fault diagnosis expert system for electric power system of the large-scale UAVs based on virtual instrument
AU - Qinling, Zhang
AU - Yang, Liu
AU - Pengliang, Sun
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Electric power system
KW - Expert system
KW - Fault diagnosis
KW - UAV(unmanned aerial vehicles)
UR - https://www.scopus.com/pages/publications/84874928247
U2 - 10.4028/www.scientific.net/AMR.663.572
DO - 10.4028/www.scientific.net/AMR.663.572
M3 - 会议稿件
AN - SCOPUS:84874928247
SN - 9783037856000
T3 - Advanced Materials Research
SP - 572
EP - 579
BT - Health, Structure, Material and Environment
T2 - 2012 International Conference of Health, Structure, Material and Environment, HSME 2012
Y2 - 4 December 2012 through 5 December 2012
ER -