多元非参数rank图在民航发动机监控中的应用

中国机械工程 ›› 2015, Vol. 26 ›› Issue (12): 1626-1629,1683.

多元非参数rank图在民航发动机监控中的应用

孔祥芬;张兵

中国民航大学，天津，300300

出版日期:2015-06-25 发布日期:2015-06-29
基金资助:
航空基金资助项目(20130267001)
Aviation Science Foundation of China（No. 20130267001）

Applications of Nonparametric Multivariate Rank Chart to Aircraft Engine Monitoring

Kong Xiangfen;Zhang Bing

Civil Aviation University of China,Tianjin,300300

Online:2015-06-25 Published:2015-06-29
Supported by:
Aviation Science Foundation of China（No. 20130267001）

摘要/Abstract

摘要：

发动机多元监控可以很好地解决以往单参数监控中监控参数过多导致指示过程失真的问题。分别利用T2控制图和rank图对发动机低压转子振动值和高压转子振动值两个参数同时进行实时监控，并对两种控制图在实时监控中的表现进行了比较分析，结果显示,rank图在多元实时监控中的表现优于T2控制图。

关键词: 数据深度, rank图, 发动机监控;T2控制图

Abstract:

Multiple monitoring of aircraft engine could solve the problems that the previous one-parameter monitoring detected so many parameters that the indicates will be distorted.TheT2 control chart and the rank chart were applied simultaneously to monitor low-pressure rotor vibration value and high-pressure rotor vibration value for their real-time monitoring,and the performances of the two charts in aircraft engine real-time monitoring were compared and analyzed.The results show that the performance of rank chart is better than the T2 control chart.

Key words: data depth, rank chart, aircraft engine monitoring, T2 control chart

中图分类号:

孔祥芬;张兵. 多元非参数rank图在民航发动机监控中的应用[J]. 中国机械工程, 2015, 26(12): 1626-1629,1683.

Kong Xiangfen;Zhang Bing. Applications of Nonparametric Multivariate Rank Chart to Aircraft Engine Monitoring[J]. China Mechanical Engineering, 2015, 26(12): 1626-1629,1683.

参考文献

[1]孔成安,李文华,尹湛.利用QAR数据实施飞机性能监控[J].中国民用航空，2008（3）：53-54.
Kong Cheng'an,Li Wenhua,Yin Zhan.Apply the QAR Data to Implement Monitoring of Aircraft Performance[J].China Civil Aviation,2008（3）：53-54.
[2]林兆福，范作林，高海川.航空发动机状态监控和故障诊断软件[J].中国民航学院学报，1991,9(3):10-24.
Lin Zhaofu,Fan Zuolin,Gao Haichuan.Aero Engine Condition Monitoring and Fault Diagnosis Software[J]. Journal of China Civil Aviation College,1991,9(3):10-24.
[3]Fisher R.The Logic of Inductive Inference[J]. Journal of the Royal Statistical Society,1935, 98(1):39-54.
[4]Eklund N H, Goebel K F. Using Neural Networks and the Rank Permutation Transformation to Detect Abnormal Conditions in Aircraft Engines[C]//Soft Computing in Industrial Applications. Montreal:IEEE, 2005: 1-5.
[5]Hinkley D V.Inference about the Change-point in a Sequence of Random Variables[J]. Biometrika,1970,57(1): 1-17.
[6]Kim H.Change-Point Detection for Correlated Observations[J]. Statistical Sinica,1996,6: 275-287.
[7]Lowry C A, Woodall W H, Champ C W.Multivariate Exponentially Weighted Moving Average Control Chart[J].Techno. Metrics,1992,34(1):46-53.
[8]Hu X, Qiu H, Iyer N. Multivariate Change Detection for Time Series Data in Aircraft Engine Fault Diagnostics[C]//Systems, Man and Cybernetics, 2007. Montreal:IEEE, 2007: 2484-2489.
[9]Hotelling H. The generalization of Student's Ratio[J]. Ann. Math.Statist., 1931,2: 360-378.
[10]Liu R.Control Charts for Multivariate Processes[J]. Journal of American Statistics Association，1995,90:1380-1387.
[11]Liu R.Monitoring Multivariate Aviation Safety Data by Data Depth:Control Charts and Threshold Systems[J].IIE Transactions，2000,32(9):861-872.
[12]Liu R. On a Notion of Data Depth Based on Random Simplices[J].The Annals of Statistics，1990, 18（1）: 405-414.
[13]张津.民用航空发动机状态监视和故障诊断系统研究[J].航空动力学报，1994,9(4):339-343.
Zhang Jin.Civil Aviation Engine Condition Monitoring and Fault Diagnosis System[J].Journal of Aerospace Power，1994,9(4):339-343.
[14]朱建东.飞机发动机的监控技术及其发展趋势[J].飞机设计，2003(1):58-61.
Zhu Jiandong.Monitoring Technology and the Development Trends of Aircraft Engine[J]. Aircraft Design，2003(1):58-61.
[15]蒋家东，蒋小琴.多元控制图的比较研究[J].航空标准化与质量,2007(1): 17-21.
Jiang Jiadong,Jiang Xiaoqin.A Comparative Study of Multivariate Control Charts[J]. Aviation Standardization and Quality，2007(1):17-21.