航空发动机尾气静电监测及其信号特性分析
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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.
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.
引文
[1]CARTER T J.Common failures in gas turbine blades[J].Engineering Failure Analysis,2005,12(2):237-247.
[2]FISHER C E.Gas path debris monitoring-A 21st century PHM tool[C].IEEE Aerospace Conference Proceedings,2000:403-410.
[3]孙衍山,杨昊,佟海滨,等.航空发动机滑油磨粒在线监测[J].仪器仪表学报,2017,38(7):1561-1569.SUN Y SH,YANG H,TONG H B,et al.Review of online detection for wear particles in lubricating oil of aviation engine[J].Chinese Journal of Scientific Instrument,2017,38(7):1561-1569.
[4]王超,高文宾,张靖宇.基于静电传感器的稀相气力输送流动特性分析[J].电子测量与仪器学报,2016,30(9):1320-1326.WANG CH,GAO W B,ZHANG J Y.Flow characteristics analysis of dilute phase pneumatic conveying based on electrostatic sensor[J].Journal of Electronic Measurement and Instrumentation,2016,30(9):1320-1326.
[5]张申宇,邱雷.导波结构健康监测系统软件数据管理模块设计[J].国外电子测量技术,2017,36(2):54-58.ZHANG SH Y,QIU L.Design of guided waves structural health monitoring system software data management module[J].Foreign Electronic Measurement Technology,2017,36(2):54-58.
[6]亢菲菲,曲银凤,程学珍.基于LMS算法的粉尘静电信号处理[J].电子测量技术,2017,40(3):138-142.HANG F F,QU Y F,CHEN X ZH.Dust signal processing based on new LMS adaptive algorithm[J].Electronic Measurement Technology,2017,40(3):138-142.
[7]FISHER C E.Data and information fusion for gas path debris monitoring[C].IEEE Aerospace Conference Proceedings,2001:825-839.
[8]POWRIE H E G,NOVIS A.Gas path debris monitoring for F-35 joint strike fighter propulsion system PHM[C].IEEE Aerospace Conference Proceedings,2006:314-322.
[9]YIN Y B,CAI J,ZUO H F,et al.Experimental investigation on electrostatic monitoring technology for civil turbofan engine[J].Journal of Vibroengineering,2017,19(2):967-987.
[10]FU Y,ZUO H F,LIU P P,et al.Gas path electrostatic sensors monitoring and comparison experiment on turbojet engine[J].Transaction of Nanjing University of Aeronautics&Astronautics,2013,30(4):361-365.
[11]YU F,ZUO H F,CAI J,et al.Mean change-point model for aero-engine component faults[J].Journal of Vibroengineering,2013,15(4):1627-1633.
[12]文振华,左洪福,李耀华.气路颗粒静电监测技术及实验[J].航空动力学报,2008,23(12):2321-2326.WEN ZH H,ZUO H F,LI Y H.Gas path debris electrostatic monitoring technology and experiment[J].Journal of Aerospace Power,2008,23(12):2321-2326.
[13]殷逸冰,左洪福,付宇,等.某型航空涡扇发动机静电传感器机载化监测实验[J].航空动力学报,2016,31(12):3054-3063.YIN Y B,ZUO H F,FU Y,et al.Experimental study of electrostatic sensors airborne monitoring on turbofan aeroengine[J].Journal of Aerospace Power,2016,31(12):3054-3063.
[14]殷逸冰,左洪福,文振华,等.航空发动机吸入颗粒物静电感应特性的模拟实验及分析[J].航空学报,2015,36(2):691-702.YIN Y B,ZUO H F,WEN ZH H,et al..Research of mathematical modelling and calibration experiment of the new electrostatic transducer in aviation[J].Acta Aeronoutica et Astronautica Sinica,2015,36(2):691-702.
[15]殷逸冰,左洪福,冒慧杰,等.航空发动机进气道静电传感器空间模型解析及感应信号影响因素实验分析[J].仪器仪表学报,2015,36(4):795-803.YIN Y B,ZUO H F,MAO H J,et al.Spatial modelanalysis of aero-engine inlet electrostatic sensor and experimental study on influence factors of charge-induced signal[J].Chinese Journal of Scientific Instrument,2015,36(4):795-803.
[16]冒慧杰,左洪福,黄文杰,等.航空新型静电传感器建模与标定实验[J].航空学报,2016,37(7):2242-2250.MAO H J,ZUO H F,HUANG W J,et al.Research of mathematical modelling and calibration experime,et al.nt of the new electrostatic transducer in aviation[J].Acta Aeronoutica et Astronautica Sinica,2016,37(7):2242-2250.
[17]冒慧杰,左洪福,殷逸冰,等.静电传感器对滑油系统磨粒电量测量方法研究[J].仪器仪表学报,2016,37(1):40-47.MAO H J,ZUO H F,YIN Y B,et al.Study on measurement method of Debris change using the electrostatic sensor in the oil system[J].Chinese Journal of Scientific Instrument,2016,37(1):40-47.
[18]文振华,左洪福,王华,等.航空发动机气路静电监测传感器特性[J].传感器与微系统,2008,27(11):28-31.WEN ZH H,ZUO H F,WANG H,et al.Characters of sensor for aero-engine gas path electrostatic monitoring[J].Transducer and Microsystem Technologies,2008,27(11):28-31.
[19]邓湘,穆星达,唐宇.阵列式静电传感器结构设计与优化研究[J].仪器仪表学报,2016,37(1):24-31.DENG X,MU X D,TANG Y.Study on the structure design and optimization of array electrostatic sensor[J].Chinese Journal of Scientific Instrument,2016,37(1):24-31.
[2]FISHER C E.Gas path debris monitoring-A 21st century PHM tool[C].IEEE Aerospace Conference Proceedings,2000:403-410.
[3]孙衍山,杨昊,佟海滨,等.航空发动机滑油磨粒在线监测[J].仪器仪表学报,2017,38(7):1561-1569.SUN Y SH,YANG H,TONG H B,et al.Review of online detection for wear particles in lubricating oil of aviation engine[J].Chinese Journal of Scientific Instrument,2017,38(7):1561-1569.
[4]王超,高文宾,张靖宇.基于静电传感器的稀相气力输送流动特性分析[J].电子测量与仪器学报,2016,30(9):1320-1326.WANG CH,GAO W B,ZHANG J Y.Flow characteristics analysis of dilute phase pneumatic conveying based on electrostatic sensor[J].Journal of Electronic Measurement and Instrumentation,2016,30(9):1320-1326.
[5]张申宇,邱雷.导波结构健康监测系统软件数据管理模块设计[J].国外电子测量技术,2017,36(2):54-58.ZHANG SH Y,QIU L.Design of guided waves structural health monitoring system software data management module[J].Foreign Electronic Measurement Technology,2017,36(2):54-58.
[6]亢菲菲,曲银凤,程学珍.基于LMS算法的粉尘静电信号处理[J].电子测量技术,2017,40(3):138-142.HANG F F,QU Y F,CHEN X ZH.Dust signal processing based on new LMS adaptive algorithm[J].Electronic Measurement Technology,2017,40(3):138-142.
[7]FISHER C E.Data and information fusion for gas path debris monitoring[C].IEEE Aerospace Conference Proceedings,2001:825-839.
[8]POWRIE H E G,NOVIS A.Gas path debris monitoring for F-35 joint strike fighter propulsion system PHM[C].IEEE Aerospace Conference Proceedings,2006:314-322.
[9]YIN Y B,CAI J,ZUO H F,et al.Experimental investigation on electrostatic monitoring technology for civil turbofan engine[J].Journal of Vibroengineering,2017,19(2):967-987.
[10]FU Y,ZUO H F,LIU P P,et al.Gas path electrostatic sensors monitoring and comparison experiment on turbojet engine[J].Transaction of Nanjing University of Aeronautics&Astronautics,2013,30(4):361-365.
[11]YU F,ZUO H F,CAI J,et al.Mean change-point model for aero-engine component faults[J].Journal of Vibroengineering,2013,15(4):1627-1633.
[12]文振华,左洪福,李耀华.气路颗粒静电监测技术及实验[J].航空动力学报,2008,23(12):2321-2326.WEN ZH H,ZUO H F,LI Y H.Gas path debris electrostatic monitoring technology and experiment[J].Journal of Aerospace Power,2008,23(12):2321-2326.
[13]殷逸冰,左洪福,付宇,等.某型航空涡扇发动机静电传感器机载化监测实验[J].航空动力学报,2016,31(12):3054-3063.YIN Y B,ZUO H F,FU Y,et al.Experimental study of electrostatic sensors airborne monitoring on turbofan aeroengine[J].Journal of Aerospace Power,2016,31(12):3054-3063.
[14]殷逸冰,左洪福,文振华,等.航空发动机吸入颗粒物静电感应特性的模拟实验及分析[J].航空学报,2015,36(2):691-702.YIN Y B,ZUO H F,WEN ZH H,et al..Research of mathematical modelling and calibration experiment of the new electrostatic transducer in aviation[J].Acta Aeronoutica et Astronautica Sinica,2015,36(2):691-702.
[15]殷逸冰,左洪福,冒慧杰,等.航空发动机进气道静电传感器空间模型解析及感应信号影响因素实验分析[J].仪器仪表学报,2015,36(4):795-803.YIN Y B,ZUO H F,MAO H J,et al.Spatial modelanalysis of aero-engine inlet electrostatic sensor and experimental study on influence factors of charge-induced signal[J].Chinese Journal of Scientific Instrument,2015,36(4):795-803.
[16]冒慧杰,左洪福,黄文杰,等.航空新型静电传感器建模与标定实验[J].航空学报,2016,37(7):2242-2250.MAO H J,ZUO H F,HUANG W J,et al.Research of mathematical modelling and calibration experime,et al.nt of the new electrostatic transducer in aviation[J].Acta Aeronoutica et Astronautica Sinica,2016,37(7):2242-2250.
[17]冒慧杰,左洪福,殷逸冰,等.静电传感器对滑油系统磨粒电量测量方法研究[J].仪器仪表学报,2016,37(1):40-47.MAO H J,ZUO H F,YIN Y B,et al.Study on measurement method of Debris change using the electrostatic sensor in the oil system[J].Chinese Journal of Scientific Instrument,2016,37(1):40-47.
[18]文振华,左洪福,王华,等.航空发动机气路静电监测传感器特性[J].传感器与微系统,2008,27(11):28-31.WEN ZH H,ZUO H F,WANG H,et al.Characters of sensor for aero-engine gas path electrostatic monitoring[J].Transducer and Microsystem Technologies,2008,27(11):28-31.
[19]邓湘,穆星达,唐宇.阵列式静电传感器结构设计与优化研究[J].仪器仪表学报,2016,37(1):24-31.DENG X,MU X D,TANG Y.Study on the structure design and optimization of array electrostatic sensor[J].Chinese Journal of Scientific Instrument,2016,37(1):24-31.