军用航空发动机PHM发展策略及关键技术

尉询楷; 冯悦; 刘芳; 杨立; 战立光

军用航空发动机PHM发展策略及关键技术

北京航空工程技术研究中心,北京 100076

基金项目: 北京航空工程技术研究中心创新基金(Z100201)

计量
- 文章访问数: 2727
- HTML浏览量: 204
- PDF量: 50
- 被引次数: 0
出版历程
- 收稿日期: 2010-09-12
- 修回日期: 2011-01-30
- 刊出日期: 2011-09-28

Development strategy and key prognostics health management technologies for military aero-engine in China

Beijing Aeronautical Technology Research Center, Beijing 100076, China

摘要

摘要: 提出了军用航空发动机预测与健康管理(prognostics and health management,简称PHM)系统的发展策略和关键技术.首先回顾了国外航空发动机PHM技术的发展历史,简要分析了各个阶段具有代表性的技术特点;其次,详细论述了航空发动机PHM技术发展应当妥善处理的关系和重要问题,主要包括PHM技术发展与空军军事需求、PHM技术发展与技术成熟度体系、立足三代机平台发展PHM技术、在发动机全寿命管理体系引入PHM系统、建议的航空发动机PHM功能和结构等;接着,结合国内技术发展水平,给出了应当重点优先发展关键技术的建议;最后,简要总结了制约国内PHM技术发展的因素,展望了瞄准的技术发展目标.
- 军用航空发动机 /
- 预测健康管理系统(PHM) /
- 发展策略 /
- 关键技术 /
- 技术成熟度
Abstract: The development strategy and key prognostics health management (PHM) technologies for military aero-engine in China were proposed.First,the development history and corresponding representative features of PHM was briefly reviewed.Then,several key relationships and important issues in PHM technology development worth emphasizing were minutely analyzed,which include the relationship between PHM technology development and the air force military requirements,the relationship between PHM technology development and the technology readiness level,developing PHM technology based on the third generation aircraft platform,introducing PHM into aero-engine full-life management system,and the proposed PHM architecture and composed functions for China air force,etc.After that,the key technologies which should be focused on with high priority in China were proposed.Finally,the factors that constrain the domestic developments of China military PHM technology and the aimed technology developing targets are shortly concluded.
- military aero-engine /
- prognostics and health management(PHM) /
- development strategy /
- key technologies /
- technology readiness level

HTML

参考文献(47)

[1]	Hess A,Galvello G,Dabney T.PHM a key enabler for the JSF autonomic logistics support concept //2004 IEEE Aerospace Conference Proceedings.Big Sky,Montana:IEEE, 2004:3543-3550.
[2]	Brown E R,Moore E E,McCollom N N,et al.Prognostics and health management a data-driven approach to supporting the F-35 lightning Ⅱ //2007 IEEE Aerospace Conference Proceedings.Big Sky,Montana:IEEE,2007:1-12.
[3]	Budrow S.System analysis and integration of diagnostics and health management for the F-119-PW-100 .AIAA-1998-3545,1998.
[4]	Vachtsevanos G,Lewis F L,Roemer M,et al.Intelligent fault diagnosis and prognosis for engineering systems[M].Hoboken,NJ:John Wiley and Sons,2006.
[5]	Pecht M G.Prognostics and health management of electronics[M].Hoboken,NJ:John Wiley and Sons,2008.
[6]	Jaw L C,Mattingly J D.Aircraft engine controls:design,system analysis,and health monitoring[M].Reston,VA:AIAA,2009.
[7]	曾声奎,吴际,Michael G P.故障预测与健康管理(PHM)技术的现状与发展[J].航空学报,2005,26(5):626-632 . ZENG Shengkui,WU Ji,Michael G P.Status and perspectives of prognostics and health management technologies[J].Acta Aeronautica et Astronautica Sinica,2005,26(5):626-632.(in Chinese)
[8]	SAE Committee E-32.AIR1587B-2007 aircraft gas turbine engine health management system guide[S].Warrendale,PA:SAE International,2007:3-25.
[9]	Ryan M.Technology readiness levels and maturation approaches for ISHM technologies . ti.arc.nasa.gov/projects/ishem/Papers/Mac- key_ISHM _TRL.doc.
[10]	Hess A,Calvello G,Frith P.Challenges,issues,and lessons learned chasing the“Big P”:real predictive prognostics Part 1 //2005 IEEE Aerospace Conference Proceedings.Big Sky,Montana:IEEE,2005:3610-3619.
[11]	Hess A,Calvello G,Frith P,et al.Challenges,issues,and lessons learned chasing the “Big P”:real predictive prognostics Part 2 //2006 IEEE Aerospace Conference Proceedings.Big Sky,Montana:IEEE,2006:1-19.
[12]	Bodden D S,Hadden W,Grube B E,et al.Prognostics and health management as design variable in air-vehicle conceptual design[J].Journal of Aircraft,2006,43(4):1053-1058.
[13]	Felke T,Hadden G,Miller D,et al.Architectures for integrated vehicle health management .AIAA 2010-3433,2010.
[14]	Dimitry G,Azary S,Robert M,et al.Open architecture for integrated vehicle health management .AIAA 2010-3434, 2010.
[15]	Keller K,Peek J,Swearingen K,et al.Architectures for affordable health management .AIAA 2010-3435,2010.
[16]	Glass B,Chun W,Jambor B,et al.Integrated system health management (ISHM) architecture design .AIAA 2010- 3453,2010.
[17]	姜彩虹,孙志岩,王曦.航空发动机预测健康管理系统设计的关键技术[J].航空动力学报,2009,24(11):2589-2594. JIANG Caihong,SUN Zhiyan,WANG Xi.Critical technologies for aero-engine prognostics and health management systems development[J].Journal of Aerospace Power,2009,24(11):2589-2594.(in Chinese)
[18]	SAE Committee E-32.AIR1839C-2008 a guide to aircraft turbine engine vibration monitoring systems[S].Warrendale,PA:SAE International,2008:3-36.
[19]	SAE Committee E-32.AIR4174-2008 a guide to aircraft Power train monitoring[S].Warrendale,PA:SAE International,2008:4-38.
[20]	SAE Committee E-32.AIR1873-2005 guide to limited engine monitoring systems for aircraft gas turbine engines[S].Warrendale, PA:SAE International,2005:3-13.
[21]	SAE Committee E-32.AIR1828B-2005 guide to engine lubrication system monitoring[S].Warrendale,PA:SAE International,2005:7-53.
[22]	SAE Committee E-32.AIR1872A-1998 guide to life usage monitoring and parts management for aircraft gas turbine engines[S].SAE International,2005:1-30.
[23]	SAE Committee E-32.AIR5871-2008 prognostics for gas turbine engines[S].Warrendale,PA:SAE International,2008:3-19.
[24]	SAE Committee E-32.AIR4175A-2005 a guide to the development of a ground station for engine condition monitoring[S].Warrendale,PA:SAE International,2005:1-39.
[25]	Simon D L,Gang S,Hunter G W,et al.Sensor needs for control and health management of intelligent aircraft engines .NASA/TM2004-213202,2004.
[26]	Garg S,Schadow K,Horn W,et al.Sensor and actuator needs for more intelligent gas turbine engines .NASA/TM2010-216746,2010
[27]	Alireza B,Kenneth S.Sensing challenges for controls and PHM in the hostile operating conditions of modern turbine engine .AIAA 2008-5280,2008.
[28]	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)
[29]	Roemer M J,Byington C S,Kacprzynski G J.An overview of selected prognostic technologies with application to engine health management .ASME,GT2006-90677,2006.
[30]	Miller J L,Kitaljevich D.In-line oil debris monitor for aircraft engine condition assessment //2000 Aerospace Conference Proceedings.Big Sky,Montana:IEEE,2000,49-56.
[31]	Simon D L.An integrated architecture for on-board aircraft engine performance trend monitoring and gas path fault diagnostics .NASA/TM-2010-216358,2010.
[32]	Takahisa K,Donald L S.Evaluation of an enhanced bank of Kalman filters for in-flight aircraft engine sensor fault diagnostics .NASA/TM-2004-213203,2004.
[33]	Jonathan S L.An optimal orthogonal decomposition method for Kalman filter-based turbofan engine thrust estimation[J].Journal of Engineering for Gas Turbine and Power,2008,130(1):1-12.
[34]	Volponi A.Enchaned self tuning on-board real-time model (ESTORM) for aircraft engine performance health tracking .Cleveland,OH:NASA,NASA/CR-2008-215272,2008.
[35]	黄伟斌,黄金泉.航空发动机故障诊断的机载自适应模型[J]. 航空动力学报,2008,23(3):580-584. HUANG Weibin,HUANG,Jinquan.On-board self-tuning model for aero-engine fault diagnostics[J].Journal of Aerospace Power,2008,23(3):580-584.(in Chinese)
[36]	Kallappa P,Byington C S,Kalgren P W,et al.High frequency incipient fault detection for engine bearing components .ASME,GT2005-68516,2005
[37]	Theodore C G,Marty F K.Availability and potential value of high frequency vibration information for aviation diagnostics,prognostics and health management .Oclando FL:SPIE,4839-219,2001.
[38]	Board C B.Stress wave analysis of turbine engine faults //2000 IEEE Aerospace Proceedings.Big Sky,Montana:IEEE,2000:79-93.
[39]	Flotow A V,Mercadal M,Tappert P.Health monitoring and prognostics of blades and disks with blade tip sensors //2000 IEEE Aerospace Proceedings.Big Sky,Montana:IEEE,2000:433-440.
[40]	Dowell M,Sylvester G.Turbomachinery prognostics and health management via eddy current sensing:current developments //1999 IEEE Aerospace Proceedings.Big Sky, Montana:IEEE,1999:1-9.
[41]	SAE G-11 Committee,ARP5580-2001 recommended failure modes and effects analysis (FMEA) practices for non-automobile Applications[S].Warrendale,PA:SAE International,2001:4-57.
[42]	Kacprzynski G,Byington C,Roemer M J,et al.Enhanced FMECA:integrating health management design and traditional failure analysis .U.S:Defense Technical Information Center,ADP013499,2001.
[43]	AIAA/ANSI.S-102.2.4-2009 Performance-based product failure mode,effects and criticality analysis (FMECA) requirements[S].Reston,VA:AIAA,2009:1-15.
[44]	Feather M S,Goebel K,Daigle M.Tackling verification and validation for prognositics .AIAA 2010-2183,2010.
[45]	Abhinav S,Jose C,Bhaskar S,et al.Metrics for offline evaluation of prognostic performance[J].International Journal of Prognostics and Health Management,2010,1:1-19.
[46]	ASME PTC 60 Committee.ASME V&V 10-2006 guide for verification and validation in computational solid mechanics[S].New York:ASME,2006:1-26.
[47]	Saxena A,Roychoudhury I,Celaya J R.Requirements specifications for prognostics:an overview .AIAA 2010-3398,2010.