The diagnosis and prediction of the state of a gas-turbine engine by hybrid neuro-fuzzy expert systems

被引：0
|
作者：
Zhernakov, SV [1 ]
机构：
[1] Ufa State Tech Univ Aviat, Ufa, Bashkortostan, Russia
来源：
JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL | 1999年 / 38卷 / 05期
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The problem of constructing diagnostic neuro-fuzzy expert systems (ESs) is considered. An architecture of a neuro-fuzzy ES and its subsystems is proposed. A comparative analysis of separate models and combined neural networks is performed as applied to the diagnosis of an aircraft gas-turbine engine (GTE). The problem of effective interaction of diverse knowledge in a hybrid neuro-fuzzy ES is solved.
引用
收藏
页码：819 / 824
页数：6
相关论文
共 50 条
  • [31] Optical Diagnosis of the Geometry of an Axisymmetric Controlled Nozzle of a Gas-Turbine Engine
    Tokarev, M. P.
    Seredkin, A. V.
    Khrebtov, M. Yu.
    Petkoglo, N. P.
    Vovk, M. Yu.
    Chikishev, L. M.
    Dulin, V. M.
    Markovich, D. M.
    Marchukov, E. Yu.
    OPTOELECTRONICS INSTRUMENTATION AND DATA PROCESSING, 2019, 55 (06) : 612 - 617
  • [32] Crops reclamation management based on hybrid neuro-fuzzy systems
    Tokarev, K. E.
    Orlova, Yu A.
    Rogachev, A. F.
    Kuzmin, V. A.
    Tokareva, Yu M.
    2ND INTERNATIONAL SCIENTIFIC CONFERENCE AGRIBUSINESS, ENVIRONMENTAL ENGINEERING AND BIOTECHNOLOGIES ( AGRITECH-II-2019), 2020, 421
  • [33] Identification and prediction using recurrent compensatory neuro-fuzzy systems
    Lin, CJ
    Chen, CH
    FUZZY SETS AND SYSTEMS, 2005, 150 (02) : 307 - 330
  • [34] An hybrid digital Neuro-Fuzzy board for control of complex systems
    Chiaberge, M
    Miranda, E
    Reyneri, L
    1998 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5, 1998, : 1904 - 1909
  • [35] Optimization of continuous processes using hybrid neuro-fuzzy systems
    Kachanák, A
    Holis, M
    Belansky, J
    7TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL XV, PROCEEDINGS: COMMUNICATION, CONTROL, SIGNAL AND OPTICS, TECHNOLOGIES AND APPLICATIONS, 2003, : 107 - 111
  • [36] A neuro-fuzzy hybrid model for assessing leanness of manufacturing systems
    Saleeshya, P. G.
    Binu, M.
    INTERNATIONAL JOURNAL OF LEAN SIX SIGMA, 2019, 10 (01) : 473 - 499
  • [37] Research on the Energy State of the Surface of Alloys for Gas-Turbine Engine Blades
    Loskutov, Stephan
    Pavlenko, Dmytro
    Stepanov, Dmytro
    Honchar, Natalia
    Khavkina, Olena
    ADVANCES IN DESIGN, SIMULATION AND MANUFACTURING III: MECHANICAL AND CHEMICAL ENGINEERING, VOL 2, 2020, : 150 - 158
  • [38] An evolving neuro-fuzzy classifier for fault diagnosis of gear systems
    Shah, Jital
    Wang, Wilson
    ISA Transactions, 2022, 123 : 372 - 380
  • [39] An evolving neuro-fuzzy classifier for fault diagnosis of gear systems
    Shah, Jital
    Wang, Wilson
    ISA TRANSACTIONS, 2022, 123 : 372 - 380
  • [40] Neuro-fuzzy tuning of PID controller for control of actual gas turbine power
    Kim, DH
    2004 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MEASUREMENT SYSTEMS AND APPLICATIONS, 2004, : 192 - 197
12345