Volume 26 Issue 9
Sep.  2011
Turn off MathJax
Article Contents
Article Navigation >  Journal of Aerospace Power  > 2011  >  26(9): 2101-2106
WANG Gu-chang, CHENG Jian, BAO Chuan-mei, SUN Ye. Diagnosis method of aero-engine fault based on fuzzy inference and evidence theory[J]. Journal of Aerospace Power, 2011, 26(9): 2101-2106.
Citation: WANG Gu-chang, CHENG Jian, BAO Chuan-mei, SUN Ye. Diagnosis method of aero-engine fault based on fuzzy inference and evidence theory[J]. Journal of Aerospace Power, 2011, 26(9): 2101-2106.
shu

Diagnosis method of aero-engine fault based on fuzzy inference and evidence theory

  • Department of Unmanned Aerial Vehicle, Wuhan Ordnance Non-commissioned Officers Academy, Wuhan 430075, China

  • Received Date: 2010-10-26
  • Rev Recd Date: 2011-02-19
  • Publish Date: 2011-09-28
    Abstract
  • A diagnosis method of aero-engine fault based on fuzzy inference and evidence theory was proposed in this paper.According to the fault symptoms,the proposed method inferred the probabilities of fault causes with experts' experience,so as to resolve the fuzzy problem of fault diagnosis.Then the results of fuzzy inference were regarded as basic probabilities of evidences to insure the veracity of evaluation.Finally,all evidences were aggregated and analyzed according to the combined rules to reduce the uncertainty of fault diagnosis and eliminate the inconsistency among evidences,so as to locate the fault cause accurately.The results of experiment show that the method is feasible and effective.

     

    • FullText(HTML)
  • loading
    • References(12)
  • [1]
    李霁红,康锐,贾颖.复杂系统的模糊故障诊断方法研究[J]. 系统工程与电子技术,2005,27(7):1322-1324. LI Jihong,KANG Rui,JIA Ying.Study on fuzzy fault diagnosis for complex system[J].System Engineering and Electronic,2005,27(7):1322-1324.(in Chinese)
    [2]
    吴今培.模糊诊断理论及其应用[M].北京:科学出版社,1995:40-45.
    [3]
    Pashayev A,Askerov D D,Sadiqov R A,et al.Fuzzy-neural approach for aircraft gas turbine engines diagnosing //Proceedings of the AIAA First Intelligent Systems Technical Conference.Chicago,IL:AIAA,2004:1-15.
    [4]
    贾智伟,李应红,雷晓奔.基于模糊综合承数的故障诊断[J]. 系统工程与电子技术,2004,26(3):416-417. JIA Zhiwei,LI Yinghong,LEI Xiaoben.Fault diagnosis based on fuzzy integrated function[J].System Engineering and Electronic,2004,26(3):416-417.(in Chinese)
    [5]
    蔡开龙,谢寿生,吴勇.航空发动机的模糊故障诊断方法研究[J].航空动力学报,2007,22(5):833-837. CAI Kailong,XIE Shousheng,WU Yong.Study on fuzzy fault diagnosis of aero-engines[J].Journal of Aerospace Power,2007,22(5):833-837.(in Chinese)
    [6]
    Dempster A.Upper and lower probabilities induced by multivalued mapping[J]. Annals of Mathematical Statistics,1967,38(2):325-339.
    [7]
    Shafer G.A mathematical theory of evidence[M].Princeton,NJ:Princeton University Press,1976.
    [8]
    ZHAO Wentao,FANG Tao,JIANG Yan.Data fusion using improved Dempster-Shafer evidence theory for vehicle detection //Proceedings of the 2007 International Conference on Fuzzy Systems and Knowledge Discover.Haikou,Hainan,China:IEEE,2007:487-491.
    [9]
    章卫国,杨国忠.模糊控制理论与应用[M].西安:西北工业大学出版社,1999.
    [10]
    杨建平,黄洪钟,苗强,等.基于证据理论的航空发动机早期故障诊断方法[J].航空动力学报,2008,23(12):2327-2331. YANG Jianping,HUANG Hongzhong,MIAO Qiang,et al.Diagnosis method of aeroengine early fault based on the Dempster-Shafer evidence theory[J].Journal of Aerospace Power,2008,23(12):2327-2331.(in Chinese)
    [11]
    黄文虎.设备故障诊断原理、技术及应用[M].北京:科学出版社,1996:95-97.
    [12]
    盛兆顺,余琪玲.设备状态检测与故障诊断技术与应用[M]. 北京:化学工业出版社,2003:184-186.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF(943.0KB)
    XML

    Article Metrics

    Article views (1999) PDF downloads(17) Cited by()
    Proportional views
    Related

    Copyright © 《Journal of Aerospace Power》 All Rights Reserved.

    Supported by: Beijing Renhe Information Technology Co., Ltd.  

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return