基于信息融合遗传算法的航空发动机气路故障诊断

崔文斌; 叶志锋; 彭利方

doi:10.13224/j.cnki.jasp.2015.05.032

基于信息融合遗传算法的航空发动机气路故障诊断

doi: 10.13224/j.cnki.jasp.2015.05.032

南京航空航天大学能源与动力学院江苏省航空动力系统重点实验室, 南京 210016

基金项目:

江苏高校优势学科建设工程资助项目

详细信息

作者简介:
崔文斌(1989-),男,江苏无锡人,硕士生,主要从事航空发动机健康管理及故障诊断研究.

通讯作者:
叶志锋(1962-),男,浙江杭州人,教授、博士生导师,博士,主要从事航空发动机控制与故障诊断领域的研究.

中图分类号: V233.7
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出版历程
- 收稿日期: 2013-11-26
- 刊出日期: 2015-05-28

Aero-engine gas path fault diagnosis based on genetic algorithm of information fusion

Jiangsu Province Key Laboratory of Aerospace Power System, College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

摘要

摘要: 针对航空发动机由传统定期维修向视情维修转变的发展趋势,研究了遗传算法在气路性能参数估计中的应用,提出了改进的基于信息融合的遗传算法,将多源信息融合到遗传算法中,用以减小遗传算法的搜索范围.仿真结果表明:通过融合多源信息,有效克服遗传算法在寻优过程中陷入局部最优的情况,从而提高了气路性能参数的估计精度,能将估计误差控制在5%以内.
- 航空发动机 /
- 遗传算法 /
- 故障诊断 /
- 信息融合 /
- 气路
Abstract: For the development trend of aero-engines from traditional regular maintenance to condition-based maintenance, the genetic algorithm was studied in the gas path performance parameters estimation, and the improved genetic algorithm based on information fusion was proposed. The multi-source information was fused with genetic algorithm to reduce search range of genetic algorithm. The simulation results prove that the situation that genetic algorithm might fall into local optimum in optimization process can be effectively overcome by multi-source information fusion. The estimation accuracy of gas path performance parameters can be improved evidently, and the estimation error can be controlled within 5% or less.
- aero-engine /
- genetic algorithm /
- fault diagnosis /
- information fusion /
- gas ptah

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参考文献(18)

[1]	Jaw L C.Recent advancements in aircraft engine health management (EHM) technologies and recommendations for the next step[R].ASME Paper GT2005-68625, 2005.
[2]	Tumer I, Bajwa A.A survey of aircraft engine health monitoring systems[R].AIAA 99-2528, 1999.
[3]	徐萍, 康锐.预测与状态管理系统(PHM)技术研究[J].测控技术, 2004, 23(12):58-60. XU Ping, KANG Rui.Research on prognostic and health management technology[J].Measurement and Control Technology, 2004, 23(12):58-60.(in Chinese)
[4]	郭阳明, 蔡小斌, 张宝珍, 等.故障预测与健康管理技术综述[J].计算机测量与控制, 2008, 16(9):1213-1216, 1219. GUO Yangming, CAI Xiaobin, ZHANG Baozhen, et al.Review of prognostics and health management technology[J].Computer Measurement and Control, 2008, 16(9):1213-1216, 1219.(in Chinese)
[5]	郝英, 孙健国, 白杰.航空燃气涡轮发动机气路故障诊断现状与展望[J].航空动力学报, 2003, 18(6):753-760. HAO Ying, SUN Jianguo, BAI Jie.State of the art and prospect of aircraft engine fault diagnosis using gas path parameters[J].Journal of Aerospace Power, 2003, 18(6):753-760.(in Chinese)
[6]	张鹏, 黄金泉.基于双重卡尔曼滤波器的发动机故障诊断[J].航空动力学报, 2008, 23(2):952-956. ZHANG Peng, HUANG Jinquan.Aero-engine fault diagnosis using dual Kalman filtering technique[J].Journal of Aerospace Power, 2008, 23(2):952-956.(in Chinese)
[7]	赵文博, 叶志锋, 王继强.基于卡尔曼滤波器组的航空发动机传感器故障诊断[J].机械制造与自动化, 2013, 24(3):14-18. ZHAO Wenbo, YE Zhifeng, WANG Jiqiang.Aircraft engine sensor fault diagnosis based on Kalman filters[J].Machine Building and Automation, 2013, 24(3):14-18.(in Chinese)
[8]	叶志锋, 孙健国.应用神经网络诊断航空发动机气路故障的前景[J].推进技术, 2002, 23(1):1-4. YE Zhifeng, SUN Jianguo.Prospect for neural networks used aero-engine fault diagnosis technology[J].Journal of Propulsion Technology, 2002, 23(1):1-4.(in Chinese)
[9]	孙见忠, 左洪福.基于多源诊断信息融合的发动机气路分析[J].航空动力学报, 2013, 28(8):1885-1896. SUN Jianzhong, ZUO Hongfu.Gas path analysis based on multi-sources diagnostics information fusion[J].Journal of Aerospace Power, 2013, 28(8):1885-1896.(in Chinese)
[10]	刘才强, 时晨, 于伦正.遗传算法在故障诊断中的应用研究[J].微电子学与计算机, 2008, 25(2):97-99. LIU Caiqiang, SHI Chen, YU Lunzheng.The study of applications of GA in fault diagnosis[J].Microelectronics and Computer, 2008, 25(2):97-99.(in Chinese)
[11]	曲建岭, 唐昌盛, 肖辉雄, 等.人工神经网络融合诊断航空发动机气路故障[J].航空动力学报, 2008, 23(11):2124-2127. QU Jianling, TANG Changsheng, XIAO Huixiong, et al.Integrated diagnosis of aero-engines' gas path fault using artificial neural network[J].Journal of Aerospace Power, 2008, 23(11):2124-2127.(in Chinese)
[12]	马岚, 张燕东.多目标遗传算法及其在自动控制系统设计中的应用[J].系统工程与电子技术, 1997, 9(5):71-76. MA Lan, ZHANG Yandong.Multi-objective genetic algorithms and its application to the design of automatic control system[J].Systems Engineering and Electronics, 1997, 9(5):71-76.(in Chinese)
[13]	Talbi H, Draa A, Batouche M.A new quantum-inspired genetic algorithm for solving the traveling salesman problem[R].[S.l.]:2004 IEEE International Conference on Industrial Technology, 2004.
[14]	Gu W, Zhang R, Zhao H.On fuzzy sliding mode guidance based on self-adaptive genetic annealing algorithm[R].Qingdao Shandong:Automation and Logistics Conference, 2008.
[15]	王施, 王荣桥, 陈志英, 等.航空发动机健康管理综述[J].燃气涡轮试验与研究, 2009, 22(1):51-58. WANG Shi, WANG Rongqiao, CHEN Zhiying, et al.Survey on aircraft engine health management[J].Gas Turbine Experiment and Research, 2009, 22(1):51-58.(in Chinese)
[16]	鲁峰, 黄金泉, 陈煜.航空发动机部件性能融合故障诊断方法研究[J].航空动力学报, 2009, 24(7):1649-1653. LU Feng, HUANG Jinquan, CHEN Yu.Research on performance fault fusion diagnosis of aero-engine component[J].Journal of Aerospace Power, 2009, 24(7):1649-1653.(in Chinese)
[17]	Jonathan A, Jonathan S, Dean K.A modular aero-propulsion system simulation of a large commercial aircraft engine[R].AIAA-2008-4579, 2008.
[18]	朱征云, 彭湘晖.浅谈航空发动机监控技术[J].航空测试技术, 1984(2):1-11.