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基于飞行数据的航空发动机健康状况分析
引用本文:李映颖,谭光宇,陈友龙.基于飞行数据的航空发动机健康状况分析[J].哈尔滨理工大学学报,2011,16(5):43-46.
作者姓名:李映颖  谭光宇  陈友龙
作者单位:1. 哈尔滨理工大学机械动力工程学院,黑龙江哈尔滨150080;海军航空工程学院青岛分院,山东青岛266041
2. 哈尔滨理工大学机械动力工程学院,黑龙江哈尔滨,150080
3. 海军航空工程学院青岛分院,山东青岛,266041
摘    要:通过对航空发动机的典型故障分析,应用RBF神经网络,构建不同油门开度下的发动机性能参数,进行故障特性学习作为训练样本,将测试样本与训练样本的期望值进行比较,来确定发动机性能的衰变程度,提出了航空发动机性能评价模型.通过多机种多架次的大量飞行记录数据的实验,验证了该方法是能够及时检测到故障的发生和识别的一种有效方法.通过...

关 键 词:RBF神经网络  发动机性能评价模型  航空发动机  飞参数据

Research on the Analysis of Physical Condition of Aero-engines with Flight Data
LI Ying-ying,TAN Guang-yu,CHEN You-long.Research on the Analysis of Physical Condition of Aero-engines with Flight Data[J].Journal of Harbin University of Science and Technology,2011,16(5):43-46.
Authors:LI Ying-ying  TAN Guang-yu  CHEN You-long
Affiliation:LI Ying-ying1,2,TAN Guang-yu1,CHEN You-long2 (1.School of Mechanical and Power Engineering,Harbin University of Science and Technology,Harbin 150080,China,2.Naval Aeronautical Engineering Academy Qingdao Branch,Qingdao 266041,China)
Abstract:Through the analysis of typical aeroengine fault,using RBF neural network,this page constructs performance parameters under the throttle angle of engine and studies the fault characteristics as the training sample.Comparing with an expected value between test samples and training samples,we can get the decay degree of engine performance and the aeroengine performance evaluating model.By large amounts of aeroengine recorded flight data tested,plenty of other vehicles validated that this method can diagnose e...
Keywords:RBF neural network  aeroengine performance evaluating model  aeroengine  flight data  
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