Volume 28 Issue 3
Mar.  2013
Turn off MathJax
Article Contents
SUN Jian-zhong, ZUO Hong-fu, LIU Peng-peng, YU You-feng, CHEN Zhi-xiong. Analysis and application of baseline model of aero-engine exhaust gas electrostatic monitoring signals[J]. Journal of Aerospace Power, 2013, 28(3): 531-540.
Citation: SUN Jian-zhong, ZUO Hong-fu, LIU Peng-peng, YU You-feng, CHEN Zhi-xiong. Analysis and application of baseline model of aero-engine exhaust gas electrostatic monitoring signals[J]. Journal of Aerospace Power, 2013, 28(3): 531-540.

Analysis and application of baseline model of aero-engine exhaust gas electrostatic monitoring signals

  • Received Date: 2012-03-25
  • Publish Date: 2013-03-28
  • A study on the application of the aero-engine exhaust gas electrostatic monitoring technology for gas path component condition monitoring was conducted.The exhaust gas electrostatic monitoring signal (EGEMS) was taken as a new gas path parameter and its deviation from the baseline in EGEMS root mean square (RMS) value was monitored for real-time gas path component anomaly detection. Firstly, the exhaust gas soot emission characteristics were studied from the electrostatic monitoring point of view, and then the baseline composition of the EGEMS, the main influencing factors as well as the EGEMS features of the typical faults were studied. Furthermore,two baseline model mining methods were proposed respectively for a single parameter (fuel flow rate) based baseline model (parametric model) and a multi-parameter based baseline model (nonparametric model) which was obtained using multi-state estimation technique. The case study on a real EGEMS data set from a turbo-shaft engine shows that the established baseline model can characterize the EGEMS under various operating conditions of the test engine, and can effectively detect the anomaly of the gas path components.

     

  • loading
  • [1]
    陈卫,程礼,李全通,等.航空发动机监控技术[M].北京:国防工业出版社,2011.
    [2]
    Honor P,Novis A.Gas path debris monitoring for F-35 Joint Strike Fighter propulsion system PHM[R].Big Sky,MT:IEEE Aerospace Conference Proceedings,2006.
    [3]
    Couch R P,Rossback D R,Burgess R W,et al.Sensing incipient engine failure with electrostatic probes[C]//Instrumentation for Airbreathing Propulsion,Proceeding of the Symposium.Seattle WA,USA:AIAA,1972:519-529.
    [4]
    Powrie H E G,Mcnicholas K.Gas path condition monitoring during accelerated mission testing of a demonstrator engine[R].AIAA-97-2904,1997.
    [5]
    Fisher C E.Gas turbine condition monitoring systems:an integrated approach[R].Big Sky,MT IEEE Aerospace Conference Proceedings,2000.
    [6]
    Fisher C E.Gas path debris monitoring:a 21st century PHM tool[R].Big Sky,MT IEEE Aerospace Conference Proceedings,2000.
    [7]
    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 Zhenhua,ZUO Hongfu,LI Yaohua.Gas path debris electrostatic monitoring technology and experiment[J].Journal of Aerospace Power,2008,23(12):2321-2326.(in Chinese)
    [8]
    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 Zhenhua, ZUO Hongfu, WANG Hua, et al.Characters of sensor for aero engine gas path electrostatic monitoring[J].Transducer and Microsystem Technologies,2008,27(11):28-31.(in Chinese)
    [9]
    李耀华,左洪福,刘鹏鹏.某型航空涡轮轴发动机尾气静电监测探索性实验[J].航空学报, 2010,31(11):2174-2181. LI Yaohua, ZUO Hongfu, LIU Pengpeng. Gas path electrostatic monitoring of turbo-shaft engine: an exploratory experiment[J].Acta Aeronautica et Astronautica Sinica,2010,31(11):2174-2181. (in Chinese)
    [10]
    李耀华,左洪福.碰摩故障静电监测方法及模拟实验[J].航空学报,2010,31(6):1156-1163. LI Yaohua, ZUO Hongfu. Method for rub fault detection based on electrostatic technique:model and simulated experiments[J].Acta Aeronautica et Astronautica Sinica, 2010,31(6):1156-1163. (in Chinese)
    [11]
    孙见忠,左洪福,詹志娟,等.涡轴发动机尾气静电信号影响因素分析[J].航空学报,2012,33(3):412-420. SUN Jianzhong, ZUO Hongfu, ZHAN Zhijuan, et al. Analysis of the influencing factors on the exhaust gas electrostatic monitoring signal of a turbo-shaft engine[J].Acta Aeronautica et Astronautica Sinica, 2012, 33(3):412-420. (in Chinese)
    [12]
    金如山.航空燃气轮机燃烧室[M].北京:宇航出版社,1988.
    [13]
    Lefebvre A H.Gas turbine combustion[M].Washington: Hemisphere Pub.Corp.,1983.
    [14]
    Wey C C,Anderson B E,Hudgins C,et al.Aircraft particle emissions experiment (APEX)[R].NASA/TM-2006-214382,2006.
    [15]
    Kinsey J S.Characterization of emissions from commercial aircraft engines during the aircraft particle emissions experiment (APEX) 1 to 3[R].EPA-600/R-091/130,2009.
    [16]
    Kinsey J,Dong Y,Williams D C,et al.Physical characterization of the aircraft particle emissions from commercial aircraft engines during the [JP+1]aircraft particle emissions experiment (APEX) 1-3[J].Atmospheric Environment,2010,44(7):2147-2156.
    [17]
    陈锐,周彤,顾铭企.某型发动机主燃烧室积炭的排除[J].航空发动机,1996(3):16-20. CHEN Rui,ZHOU Tong,GU Mingqi.Remove of the carbon deposit in the combustion chamber of some aeroengine[J].Aeroengine,1996(3):16-20. (in Chinese)
    [18]
    姚四伟,张力先,霍岩.发动机燃烧室部件故障的分析与预防[J].西安航空技术高等专科学校学报,2008,26(1):18-20. YAO Siwei,ZHANG Lixian,HUO Yan.Analysis and prevention on malfunctions of engine combustion chamber parts[J].Journal of Xian Aerotechnical College,2008,26(1):18-20.(in Chinese)
    [19]
    Hines J W,Garvey D,Seibert R,et al.Technical review of on-line monitoring techniques for performance assessment:Volume 2 theoretical issues[R].Washington DC,US:Nuclear Regulatory Commission,NUREG/CR-6895,2007.
    [20]
    Hines J W,Usynin A.MSET performance optimization through regularization[J].Nuclear Engineering and Technology,2005,38(2):356-362.
    [21]
    Hines J W,Garvey D.Traditional and robust vector selection methods for use with similarity based models[R].Albuquerque,MN:5th International Topical Meeting on Nuclear Plant Instrumentation,Control and Human-Machine Interface Technologies,2006.
  • 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 (1849) PDF downloads(1422) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return