电子科技大学学报Issue(3)：392-396,5.DOI:10.3969/j.issn.1001-0548.2015.03.013
基于信息融合技术的航空电子设备故障诊断研究
Fault Diagnosis of Avionic Devices Based on Information Fusion Technology
摘要
Abstract
A fault diagnosis scheme for airborne avionics is proposed based on local fault detecting with fuzzy neutral network and decision fusion with Dempster-Shafer evidence theory. Firstly, the characteristic malfunction information of equipment is effectively recombined, and fuzzy neural sub-networks are constructed to achieve independent evidences, with which the diagnosis conclusions as decision fusion results are then drawn by using D-S evidence theory. Lastly, the basic probability values are computed according to the local diagnosis outputs and their credibility. Simulation results indicate that the diagnosis credibility can be obviously increased and the accuracy can also be effectively improved when the scheme is applied to the fault diagnosis of an airborne radio.关键词
航空电子/证据理论/故障诊断/模糊神经网络/信息融合Key words
avionic device/evidence theory/fault diagnosis/fuzzy neural network/information fusion分类
信息技术与安全科学引用本文复制引用
闫涛,赵文俊,胡秀洁,宋家友..基于信息融合技术的航空电子设备故障诊断研究[J].电子科技大学学报,2015,(3):392-396,5.基金项目
军内计划项目(KJ2012255) （KJ2012255）
