航空发动机尾气静电监测及其信号特性分析  

Aero-engine exhaust electrostatic monitoring and signal characteristics analysis

作　　者：付宇[1] 殷逸冰[2] 左洪福[2] Fu Yu;YinYibing;Zuo Hongfu(Institute of Aviation Engineering, Civil Aviation University of China, Tianjin 300300, China;College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

机构地区：[1]中国民航大学航空工程学院,天津300300 [2]南京航空航天大学民航学院,南京211106

出　　处：《仪器仪表学报》2018年第2期160-168,共9页Chinese Journal of Scientific Instrument

基　　金：中央高校基本科研业务费(3122016A004)项目资助

摘　　要：对尾气静电传感器在航空发动机气路状态监测中的发展和应用进行分析,描述了尾气静电监测原理和尾气静电传感器物理模型;在此基础上建立了其空间感应数学模型,得出感应信号输出的数学表达式并分析静电传感器输出信号的影响因素;搭建了该静电传感器的性能测试台架,以输出信号的主要影响因子作为实验中的自变量,进行了3组参数对比实验,根据实验量化结果分析完成了对所获得数学表达式的验证。实验结果表明,粒子运动速度、带电量、相对运动位置是影响静电感应信号输出的主要因素。The application and development of exhaust electrostatic sensor in aero-engine gas-path condition monitoring are introduced.The physical model of exhaust electrostatic sensor and the principle of exhaust electrostatic monitoring are analyzed. Then,the mathematical space model of exhaust electrostatic sensor is formulated. Its specific mathematic expression of sensor output signal is achieved and is utilized to analyze main influence factors of output signal generated by exhaust electrostatic sensor. In the following experimental study,a testbed is built and the main influence factor of the output signal is selected as the independent variable. The comparison experiments of three factors are carried out and mathematic expression is validated by the quantitative experimental results.The experimental results show that the charge,speed and motion position of oil drop are three main influence factors on the electrostatic sensing signal.

关 键 词：尾气 静电传感器 物理模型 数学解析 实验 

分 类 号：V231.25[航空宇航科学与技术—航空宇航推进理论与工程] TH89[机械工程—仪器科学与技术]