Volume 23 Issue 1
Jan.  2008
Turn off MathJax
Article Contents
ZHAO Shi-rong, HUANG Xiang-hua. Fault diagnosis for aeroengine gas path components based on neural network multisensor data fusion[J]. Journal of Aerospace Power, 2008, 23(1): 163-168.
Citation: ZHAO Shi-rong, HUANG Xiang-hua. Fault diagnosis for aeroengine gas path components based on neural network multisensor data fusion[J]. Journal of Aerospace Power, 2008, 23(1): 163-168.

Fault diagnosis for aeroengine gas path components based on neural network multisensor data fusion

  • Received Date: 2006-12-11
  • Rev Recd Date: 2007-07-11
  • Publish Date: 2008-01-28
  • A fault diagnosis method for aeroengine gas path components,which was based on the technology of neural network multisensor data fusion and combined application of fuzzy logical theory,was studied in the paper.And this method was employed in simulation analysis of a given turbo-shaft engine.The whole diagnosis process of this method is simple and high accuracy of modeling is not required.Fault alarm,mistaken report and false positive can be reduced.

     

  • loading
  • [1]
    范作民,孙春林,白杰.航空发动机故障诊断导论[M].北京:科学出版社,2004.
    [2]
    Roemer M J,Kacprzynski G J,Scholler M H.Improved diagnostic and prognostic assessments using health management information fusion[R].IEEE:365-377,2001.
    [3]
    敖凯军,鲁浩,吴剑秋.多传感器信息融合技术在发动机状态监控系统中的应用研究[J].传感器世界,2004,7;22-25.AO Kaijun,LU Hao,WU Jianqiu.Application of multisensor information fusion technique in aircraft engine condition monitoring system[J].Sensor World,2004,7:22-25.
    [4]
    张雨,温熙森.设备故障信息融合问题的思考[J].长沙交通学院学报,1999,15(2):22-29.ZHANG Yu,WEN Xisen.The consideration on informa tion fusion of equipment fault[J].Joural of Changsha Communications University,1999,15(2);22-29.
    [5]
    毛景立,李鸣,林健.某型涡轮轴发动机稳态气路故障诊断方法[J].航空动力学报,2002,17(1):69-74.MAO Jingli,LI Ming,LIN Jian.The research of gas path trouble diagnosing for a given turbo-shaft engine in the stable condition[J].Journal of Aerospace Power,2002,17(1):69-74.
    [6]
    李建国,李本威.航空发动机故障诊断方程的求解及应用[J].燃气涡轮试验与研究,2002,15(2):8-11.LI Jianguo,LI Benwei.Solution and application of fault diagnosis equation[J].Gas Turbine Experiment and Research,2002,15(2):8-11.
    [7]
    权太范.信息融合神经网络-模糊推理理论与应用[M].北京:国防工业出版社,2002.
    [8]
    王江萍.基于神经网络的信息融合故障诊断技术[J].机械科学与技术,2002,21(1):127-130.WANG Jiangping.Fault diagnosis technology based on neural network muhisensor data fusion[J].Mechanical Science and Technology,2002,21(1):127-130.
    [9]
    王浩,庄钊文.模糊可靠性分析中的隶属函数确定[J].电子产品可靠性与环境试验,2000,8(4):2-7.WANG Hao,ZHUANG Zhaowen.Determination of membership function in fuzzy reliability analysis[J].Electronic Product Reliablity and Environmental Testing,2000,8(4):2-7.
    [10]
    朱大奇,于盛林.电子电路故障诊断的神经网络数据融合算法[J].东南大学学报:自然科学版,2001,31(6):87-90.ZHU Daqi.YU Shengli.Neural network data fusion algorithm of circuit fault diagnosis[J].Journal of Southeast University,2001,31(6):87-90.
    [11]
    韩静,陶云刚.基于D-S证据理论和模糊数学的多传感器数据融合算法[J].仪器仪表学报,2000,21(6):644-647.HAN Jing,TAO Yuugang.Data fusion algorithm of multisensor based on D-S evidential theory and fuzzy mathematics[J].Chinese Journal of Scientific Instrument,2000,21(6):644-647.
    [12]
    董长虹.Matlab神经网络与应用[M].北京:国防工业出版社,2005.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (1901) PDF downloads(422) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return