计算机应用与软件2012，Vol.29Issue(6)：105-108,4.
基于D-S证据理论的航空发动机振动故障分析
ANALYSIS OF AEROENGINE VIBRATION FAULT BASED ON D-S EVIDENCE THEORY
摘要
Abstract
Aeroengine has complex structure harsh work conditions, the effective analysis on its vibration is an important means for fault diagnosis. Since different feature value gives different capability in vibration analysis, in order to integrate analyses results obtained in different feature items, the Dempster-Shafer evidential theory-based information fusing method is adopted to fuse the diagnosis results of BP neural networks with different features. Furthermore, aiming at the practical working status of aeroengine, a belief function construction approach using output statistics of neural networks is put forward. Through the experimental analysis results of the vibration signals observed during the trial running of the aeroengine, it shows that this algorithm can effectively improve the precision rate of aeroengine vibration fault recognition.关键词
D-S证据理论/信息融合/BP神经网络/航空发动机Key words
D-S evidence theory/Information fusion/BP neural network/Aeroengine分类
信息技术与安全科学引用本文复制引用
吴娅辉,李新良,张大治..基于D-S证据理论的航空发动机振动故障分析[J].计算机应用与软件,2012,29(6):105-108,4.基金项目
航空科学基金重点资助项目(20105644004). （20105644004）
