发动机故障诊断主因子模型的测量参数选择  

Research on selection of measurement parameters of engine fault diagnosis based on primary factor model

作　　者：孙祥逢[1] 陈玉春[1] 胡福[1] 

机构地区：[1]西北工业大学动力与能源学院,西安710072

出　　处：《航空动力学报》2010年第1期129-135,共7页Journal of Aerospace Power

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.

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 

分 类 号：V231[航空宇航科学与技术—航空宇航推进理论与工程]