电子与控制

面向民用飞机排故的增强型符号有向图

  • 周虹 ,
  • 陈志雄
展开
  • 1. 上海工程技术大学 航空运输学院, 上海 201620;
    2. 上海工程技术大学 汽车工程学院, 上海 201620
周虹,女,博士,高级工程师。主要研究方向:可靠性工程、飞机故障诊断与监控。Tel.:021-67791373,E-mail:zhouhongnuaa@nuaa.edu.cn;陈志雄,男,博士,副教授。主要研究方向:发动机状态监测与故障预测。Tel.:021-67791146,E-mail:chenzhixiong1000@163.com

收稿日期: 2016-01-08

  修回日期: 2016-05-09

  网络出版日期: 2016-06-12

基金资助

国家自然科学基金(51465047);航空科学基金(2014ZD56009)

ESDG approach for troubleshooting of civil aircraft

  • ZHOU Hong ,
  • CHEN Zhixiong
Expand
  • 1. College of Aeronautic Transportation, Shanghai University of Engineering Science, Shanghai 201620, China;
    2. College of Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China

Received date: 2016-01-08

  Revised date: 2016-05-09

  Online published: 2016-06-12

Supported by

National Natural Science Foundation of China (51465047); Aeronautical Science Foundation of China (2014ZD56009)

摘要

针对民用飞机故障的动态特性及维修体制,在符号有向图(SDG)模型中引入动态元素,并融合系统结构模型,提出一种结构和参数能随工况变化而调整的增强型有向图(ESDG)模型。进而提出基于故障依赖矩阵的相容根树搜索算法与分层诊断策略,能解决实际排故中常常因部分状态未测量而造成诊断信息缺失的问题。该方法能满足分级维修中不同诊断精度的要求。多个工况的综合诊断进一步提高了推理分辨率。最后以某民机发动机引气系统为实例说明了该方法的有效性。

本文引用格式

周虹 , 陈志雄 . 面向民用飞机排故的增强型符号有向图[J]. 航空学报, 2016 , 37(12) : 3821 -3831 . DOI: 10.7527/S1000-6893.2016.0146

Abstract

Aimed at the dynamic characteristics and maintenance mechanism for the faults of civil aircraft,an enhanced signed directed graph (ESDG) model whose structure and parameters can be adjusted according to the working conditions is proposed by introducing the dynamic elements to the signed directed graph (SDG) model and incorporating the system structure model. Then, compatible rooted tree search algorithm and hierarchical diagnosis strategy based on the fault dependency matrix are proposed, which solves the problem that the diagnosis information is missing since part of the status is not measured in actual troubleshooting. This approach is able to meet the requirements for different diagnosis accuracy in hierarchical maintenance. The comprehensive diagnosis for several working conditions further improves the reasoning resolution. Finally, the validity of this approach is illustrated by taking the example of the engine bleed system of certain civil aircraft.

参考文献

[1] 张蓉. 民用飞机系统故障诊断测试性分析与评估技术研究[D]. 南京:南京航空航天大学, 2012:1-4. ZHANG R. Research on system level fault diagnosis and testability analysis techniques for civil aircraft[D]. Nanjing:Nanjing University of Aeronautics and Astronautics, 2012:1-4(in Chinese).
[2] 刘鹏鹏, 左洪福, 苏艳, 等. 基于图论模型的故障诊断方法研究进展综述[J]. 中国机械工程, 2013, 24(5):696-702. LIU P P, ZUO H F, SU Y, et al. Review of research progresses for graph-based models in fault diagnosis method[J]. China Mechanical Engineering, 2013, 24(5):696-702(in Chinese).
[3] 宋其江, 徐敏强, 王日新. 基于分层有向图的航天器故障诊断[J]. 航空学报, 2009, 30(6):1058-1062. SONG Q J, XU M Q, WANG R X. Spacecraft fault diagnosis based on hierarchical digraphs[J]. Acta Aeronautica et Astronautica Sinica, 2009, 30(6):1058-1062(in Chinese).
[4] 李秀喜, 吉世明. 基于半定量SDG模型的化工过程故障诊断[J]. 清华大学学报(自然科学版), 2012, 52(8):1112-1115, 1129. LI X X, JI S M. Chemical process fault diagnosis using semiquantutative SDG model[J]. Journal of Tsinghua University(Science and Technology), 2012, 52(8):1112-1115, 1129(in Chinese).
[5] ISSHIKI K, MUNESAWA Y, NAKAI A, et al. HAZOP analysis system compliant with equipment models based on SDG[M]. Berlin:Springer Berlin Heidelberg, 2013:460-469.
[6] 王雅琳, 何巍, 桂卫华, 等. 基于多块KPCA和SDG的故障诊断方法[J]. 控制与决策, 2013, 28(10):1473-1478. WANG Y L, HE W,GUI W H, et al. Fault diagnosis method based on MBKPCA and SDG[J]. Control and Decision, 2013, 28(10):1473-1478(in Chinese).
[7] 杜莹, 周海东, 曾振华, 等. FSDG在测控系统下行信道中的诊断应用[J]. 飞行器测控学报, 2014, 33(3):202-207. DU Y, ZHOU H D, ZENG Z H, et al. Application of FSDG in fault diagnosis of the downlink channel of TT&C systems[J]. Journal of Spacecraft TT&C Technology, 2014, 33(3):202-207(in Chinese).
[8] LEE C J, LEE G, LEE J M. A fault magnitude-based strategy for effective fault diagnosis and isolation[J]. Journal of Chemical Engineering of Japan, 2015, 48(1):44-51.
[9] 刘君强, 王小磊, 张马兰, 等. 基于改进符号有向图模型的发动机引气系统多故障诊断方法[J]. 航空动力学报, 2015, 30(2):410-421. LIU J Q, WANG X L, ZHANG M L, et al. Multiple faults diagnosis method of engine bleed system based on improved signed directed graph[J]. Journal of Aerospace Power, 2015, 30(2):410-421(in Chinese).
[10] HARABI R E, SMAILI R, ABDELKRIM M N. Fault diagnosis algorithms by combining structural graphs and PCA approaches for chemical processes[M]. Berlin:Springer International Publishing, 2015:393-416.
[11] LIU Y K, WU G H, XIE C L, et al. A fault diagnosis method based on signed directed graph and matrix for nuclear power plants[J]. Nuclear Engineering & Design, 2016, 297:166-174.
[12] 王俊晖. 民用飞机液压系统可靠性分析[D]. 杭州:浙江大学, 2015:41-49. WANG J H. Reliability analysis on the commercial aircraft hydraulic system[D]. Hangzhou:Zhejiang University, 2015:41-49(in Chinese).
[13] JIANG W L, NIU H F, LIU S Y. Composite fault diagnosis method and its verification experiments[J]. Journal of Vibration & Shock, 2011, 30(6):176-174.
[14] HARRY K. Aviation maintenance management[M]. London:McGraw-Hill Education, 2012:143-163.
[15] 杨帆, 萧德云. 大型复杂系统的动态SDG模型及传感器布置问题[J]. 控制理论与应用, 2008, 25(2):181-186. YANG F, XIAO D Y. Dynamic SDG model and sensor location problem for large-scale complex systems[J]. Control Theory & Applications, 2008, 25(2):181-186(in Chinese).
[16] 金洋, 王日新, 徐敏强. 基于分层传递系统模型的航天器故障诊断方法[J]. 航空学报, 2013, 34(2):401-408. JIN Y, WANG R X, XU M Q. A Fault diagnosis approach for spacecraft based on hierarchical transition system model[J]. Acta Aeronautica et Astronautica Sinica, 2013, 34(2):401-408(in Chinese).
[17] GAO Z, CECATI C, DING S X. A survey of fault diagnosis and fault-tolerant techniques-Part I:Fault diagnosis with model-based and signal-based approaches[J]. IEEE Transactions on Industrial Electronics, 2015, 62(6):3757-3767.
[18] BERRY V. Maximum compatible tree[M]. Berlin:Encyclopedia of Algorithms Springer US, 2008:499-502.
[19] 吴重光, 张卫华, 李传坤, 等. SDG故障诊断模型的检验和验证[J]. 北京化工大学学报(自然科学版), 2009, 36(6):105-109. WU C G, ZHANG W H, LI C K, et al. Verification and validation of SDG fault diagnosis model[J]. Journal of Beijing University of Chemical Technology (Natural Science), 2009, 36(6):105-109(in Chinese).
[20] 佘登凤. 737NG发动机引气系统故障浅析[J]. 中国民航大学学报, 2015, 27(2):54-57. SHE D F. Analysis of the bleeding system fault of 737NG engine[J]. Journal of Civil Aviation Flight University of China, 2015, 27(2):54-57(in Chinese).

文章导航

/