A computer-based intelligent system for fault diagnosis of an aircraft engine

被引：13
|
作者：
Mustapha, F [1 ]
Sapuan, SM
Ismail, N
Mokhtar, AS
机构：
[1] Univ Putra Malaysia, Dept Aerosp Engn, Serdang, Malaysia
[2] Univ Putra Malaysia, Dept Mech Engn, Serdang, Malaysia
来源：
ENGINEERING COMPUTATIONS | 2004年 / 21卷 / 01期
关键词：
aircraft components; fault tolerance; turbines; knowledge engineering; aeroplanes;
D O I：
10.1108/02644400410511855
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, an intelligent knowledge-based system (KBS) capable of assisting aircraft mechanics and engineers to deal with fault diagnosis of the turbo-prop aircraft engine is presented The KBS intelligent jet engine trouble-shooting system (IJETSS) employs expert knowledge to act in a way similar to that of a human expert in an aircraft maintenance field by using if-then rule-based system. The major aim of the KBS of IJETSS is to generate rapid and precise engine fault diagnosis that can simulate the work of experienced aircraft maintenance mechanics and engineers. The developed system can also be useful for the inexperienced aircraft mechanics and engineers and can be used for training module for them.
引用
收藏
页码：78 / 90
页数：13
相关论文
共 50 条
  • [41] Early fault intelligent diagnosis on aircraft and its application
    Wang, Zhongsheng
    Liu, Zhenbao
    Lon, Ying
    [J]. WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 5682 - 5686
  • [42] A Novel Aircraft Engine Fault Diagnostic and Prognostic System based on SVM
    Wang, ZeFeng
    Zarader, Jean-Luc
    Argentieri, Sylvain
    [J]. PROCEEDINGS OF 2012 IEEE INTERNATIONAL CONFERENCE ON CONDITION MONITORING AND DIAGNOSIS (IEEE CMD 2012), 2012, : 723 - 728
  • [43] Intelligent fault diagnosis system based on big data
    Wu, Tianshu
    Chen, Shuyu
    Wu, Peng
    [J]. JOURNAL OF ENGINEERING-JOE, 2019, 2019 (23): : 8980 - 8985
  • [44] INTELLIGENT COMPUTER-BASED ASSESSMENT AND PSYCHOTHERAPY - AN EXPERT SYSTEM FOR SEXUAL DYSFUNCTION
    BINIK, YM
    SERVANSCHREIBER, D
    FREIWALD, S
    HALL, KSK
    [J]. JOURNAL OF NERVOUS AND MENTAL DISEASE, 1988, 176 (07) : 387 - 400
  • [45] Fault diagnosis in aircraft power system based on rough sets
    School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
    不详
    [J]. Hangkong Xuebao, 2007, 6 (1428-1432):
  • [46] Study on CBR-based automobile engine intelligent fault diagnosis technique
    Sun, Peifeng
    Ni, Yong
    [J]. COMPONENTS, PACKAGING AND MANUFACTURING TECHNOLOGY, 2011, 460-461 : 637 - +
  • [47] Computer-based system for diagnosis and therapy in acupuncture and related fields
    Raclariu, A
    Alecu, S
    Loghin, M
    IonescuTirgoviste, C
    Patrugan, V
    Serbu, L
    Stangaciu, S
    Necula, A
    Stanciu, E
    [J]. CURRENT PERSPECTIVES IN HEALTHCARE COMPUTING, CONFERENCE, 1996, : 64 - 70
  • [48] PULMONOLOGIST - A COMPUTER-BASED DIAGNOSIS SYSTEM FOR PULMONARY-DISEASES
    KAR, A
    MILLER, GE
    SHEPPARD, SV
    [J]. INTERNATIONAL JOURNAL OF BIO-MEDICAL COMPUTING, 1987, 21 (3-4): : 223 - 235
  • [49] Design and construction of a computer-based logical system for medical diagnosis
    Sherif, HM
    Sadeghi, S
    Mogel, G
    [J]. MEDICINE MEETS VIRTUAL REALITY 2001: OUTER SPACE, INNER SPACE, VIRTUAL SPACE, 2001, 81 : 459 - 464
  • [50] Intelligent fault diagnosis and reconstruction of dual anti-skid braking system in aircraft
    Liao, Li-Qing
    Duan, Ling-Fei
    Xiong, Xiang
    Wang, Song
    [J]. Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), 2010, 41 (01): : 207 - 212
12345