基于云关联度的航空发动机传感器、部件故障识别系统设计

仇小杰; 黄金泉; 鲁峰; 刘楠

基于云关联度的航空发动机传感器、部件故障识别系统设计

基金项目: 江苏省2010年度普通高校研究生科研创新计划(CX10B_108Z); 南京航空航天大学科研业务基金(56v1042)

计量
- 文章访问数: 1632
- HTML浏览量: 2
- PDF量: 49
- 被引次数: 0
出版历程
- 收稿日期: 2010-12-01
- 修回日期: 2011-03-17
- 刊出日期: 2011-11-28

Fault diagnosis system design for the sensors and components of aircraft engine based on cloud relational analysis

摘要

摘要: 针对灰色关联度方法用于发动机故障诊断精度低的问题,结合云理论和关联度分析方法,提出了云关联度方法,利用“云滴”能够反映映射的模糊性和随机性与整体“形状”变化分布这一特性,克服数据挖掘的模糊性和随机性问题,采用综合隶属度方法能够充分对数据进行挖掘,最终计算出云关联度.为了实现航空发动机传感器、部件单一故障的实时识别和诊断,在分析航空发动机传感器故障和部件故障特点的基础上,利用云关联度方法,设计了航空发动机传感器、部件故障的识别系统.仿真结果表明该方法不仅能够实时正确区分航空发动机传感器、部件故障,还能准确诊断出故障发生的传感器或者部件的位置,有效地改善了航空发动机故障诊断能力.
- 航空发动机 /
- 传感器故障 /
- 部件故障 /
- 故障诊断 /
- 云理论 /
- 关联度
Abstract: Considering low accuracy problem of fault diagnosis for aircraft engine by gray relational analysis,the method of cloud relational analysis was proposed by integrating the cloud theory and the relational analysis.The characteristics of “cloud droplets” reflect fuzziness and randomicity of the mapping,and solve the problem in data mining while representing the distribution change of the integral “shape”.The comprehensive subjection method could mine information fully,then the cloud relation can be calculated.In order to diagnose the single fault for the sensors and components of aircraft engine,a fault diagnosis system based on cloud relational analysis was designed based on analysis of the fault characteristics of the sensors and the components.The simulation results show that the proposed method can not only distinguish the faults of sensors and components,but also locate the fault position of the sensors or the components.The methods can effectively improve the fault diagnosis ability for aircraft engine.
- aircraft engine /
- sensor fault /
- component fault /
- fault diagnosis /

HTML

参考文献(15)

[1]	Link C.Recent advancements in aircraft engine health management (EHM) technologies and recommendations for the next step .ASME GT2005-68625,2005.
[2]	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):2859-2594. 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):2859-2594.(in Chinese)
[3]	薛薇,郭迎清.基于健康蜕化的航空发动机传感器故障诊断[J].中国航空学报,2009,22(1):18 -21. XUE Wei,GUO Yingqing.Aircraft engine sensor fault diagnosis based on estimation of engine's health degradation[J].Chinese Journal of Aeronautics,2009,22(1):18-21.(in Chinese)
[4]	张鹏,黄金泉.航空发动机气路故障诊断的平方根UKF方法研究[J].航空动力学报,2008,23(1):169-173. ZHANG Peng,HUANG Jinquan.SRUKF research on aero-engines for gas path component fault diagnostics[J].Journal of Aerospace Power,2008,23(1):169-173.(in Chinese)
[5]	Link C,William W.Mathematical formulation of model -based methods for diagnostics and prognostics .GT2006-90655,2006.
[6]	Asif K,Kai G.Real-time probabilistic forecasting of wear degradation using a macro-scale physical model .IEEE 1-4244-1488,2008.
[7]	陈恬,孙健国,郝英.基于神经网络和证据融合理论的航空发动机气路故障诊断[J].航空学报,2006,27(6):1014-1017. CHEN Tian,SUN Jianguo,HAO Ying.Neural network and dempster-shafter theory based fault diagnosis for aero-engine gas path[J].Acta Aeronautica et Astronautica Sinica,2006,27(6):1014-1017.(in Chinese)
[8]	Ogaji S,Li Y G,Sampath S,et al.Gas-path fault diagnosis of a turbofan engine from transient data using artificial neural networks .ASME Turbo. Expo.,GT2003-38423,2003.
[9]	尉询楷,李应红,刘建勋,等.基于支持向量机的信息融合诊断方法[J].系统工程与电子技术,2005,27(9):1665- 1668. WEI Xunkai,LI Yinghong,LIU Jianxun.Novel information fusion fault diagnosis method based on support vector machines[J].Systems Engineering and Electronics,2005,27(9):1665-1668.(in Chinese)
[10]	韩磊,洪杰,王冬.基于小波包分析的航空发动机轴承故障诊断[J].推进技术,2009,30(3):328-341. HAN Lei,HONG Jie,WANG Dong.Fault diagnosis of aero-engine bearings based on wavelet package analysis[J].Journal of Propulsion Technology,2009,30(3):328-341.(in Chinese)
[11]	鲁峰,黄金泉,陈煜.航空发动机部件性能故障融合诊断方法研究[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)
[12]	邓聚龙.灰色控制系统[J].华中工学院学报,1982,10(3):9-18. DENG Julong.The grey control system[J].Journal of Huazhong University of Science and Technology,1982,10(3):9-18.(in Chinese)
[13]	李德毅,孟海军,史雪梅.隶属云和隶属云发生器[J].计算机研究与发展,1995,32(6):15-20. LI Deyi,MENG Haijun,SHI Xuemei.Membership clouds and membership cloud generators[J].Journal of Computer Research and Development,1995,32(6):15-20.(in Chinese)
[14]	刘常昱,李德毅,潘莉莉.基于云模型的不确定性知识表示[J].计算机工程与应用,2004,40(2):32-35. LIU Changyu,LI Deyi,PAN Lili.Uncertain knowledge representation based on cloud model[J].Computer Engineering and Applications,2004,40(2):32-35.(in Chinese)
[15]	窦建平,黄金泉,周文祥.基于UML 的航空发动机仿真建模研究[J].航空动力学报,2005,20(4):684-688. DOU Jianping,HUANG Jinquan,ZHOU Wenxiang.Research of aeroengine modeling based on UML[J].Journal of Aerospace Power,2005,20(4):684-688.(in Chinese)