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发动机故障诊断主因子模型的测量参数选择 被引量:10

Research on selection of measurement parameters of engine fault diagnosis based on primary factor model
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摘要 研究了航空发动机气路故障诊断的测量参数选择的问题.基于发动机故障诊断的主因子模型,结合预测平方残差和(prediction error sum of squares,简称PRESS)准则,建立了一种选择风扇流量、风扇出口压力、压气机出口压力、压气机出口温度、涡轮后温度和燃油流量这6个测量参数进行单轴涡扇发动机故障诊断的方法.大量的实例表明,合理运用该方法选择测量参数的种类和数量,既能取得比较满意的诊断效果,又能利用发动机控制系统已有的测量参数,降低诊断成本,具有一定的工程应用价值. The selection of measurement parameters of engine air path fault diagnosis was researched in this paper based on the primary factor model and prediction error sum of squares (PRESS) principle. Through plenty of computing results, a method was established for fault diagnosis of one spool turbofan engine by selecting six measurement parameters, namely, corrected mass flow of fan, outlet total pressure of fan, outlet total temperature of compressor, outlet total pressure of compressor, outlet total temperature of low-pressure turbine and fuel mass low. This can also obtain satisfactory diagnosis results while the re sults can also be applied to other forms of aero engines. It is indicated that the reasonable type and quantity selection of measurement parameters not only guarantees the diagnosis, but also cuts down the cost. The method is of some engineering value.
出处 《航空动力学报》 EI CAS CSCD 北大核心 2010年第1期129-135,共7页 Journal of Aerospace Power
关键词 故障诊断 主因子模型 共轭斜量法 PRESS(预测平方残差和)准则 fault diagnosis primary factor model conjugate gradient method PRESS (prediction error sum of squares) principle
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参考文献9

  • 1范作民,孙春林,林兆福.发动机故障诊断的主因子模型[J].航空学报,1993,14(12). 被引量:16
  • 2Torella G, Torella R. Probabilistic expert system for the diagnostics and trouble-shooting of gas turbine apparatuses [R]. AIAA 99-2842.
  • 3Urban L A. Gas path analysis applied to turbine engine condition monitoring[R]. AIAA 72-1082.
  • 4Urban L A. Parameter selection for multiple fault diagnostics of gas turbine engines[R]. ASME 74-GT-82.
  • 5Kos J M. Multiple fault gas path analysis applied to a twin spoolmixed flow[R]. ADA 019183,1975.
  • 6Stamatis A, Mathioudakis K, Papiliou K, et al. Jet engine fault detection with differential gas path analyses at discrete operating points[R]. ISABE 89-7133,1989.
  • 7Rama K, Shankar Y P, Siddiqi M. Modeling, diagnostics and prognostics of a two spool turbofan engine[R]. AIAA 2005-4344.
  • 8Li Y G. Performance analysis based gas turbine diagnostics:a review[J]. Journal Power and Energy, 2002, 216 (5):363-377.
  • 9唐耿林.航空发动机性能监视参数选择的研究[J].推进技术,1998,19(2):38-42. 被引量:22

二级参考文献9

  • 1范作民,Chinese Journal of Aeronautics,1992年,5卷,3期,182页
  • 2范作民,航空学报,1990年,11卷,1期,A37页
  • 3陈大光,航空动力学报,1994年,9卷,4期
  • 4范作民,航空学报,1993年,14卷,12期
  • 5韩凤学,硕士学位论文,1992年
  • 6唐耿林,航空动力学报,1990年,5卷,3期
  • 7唐耿林,硕士学位论文,1990年
  • 8唐耿林,中国航空科技文献
  • 9范作民,林兆福.发动机故障诊断主状态量模型的数学模型[J].中国民航学院学报,1991,9(3):1-9. 被引量:2

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