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Volumn 3, Issue , 2010, Pages 365-373

Fault diagnosis of gas turbine engines by using dynamic neural networks

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMIC CHARACTERISTICS; DYNAMIC NEURAL NETWORKS; FEED-FORWARD; LOCALLY RECURRENT GLOBALLY FEED-FORWARD NETWORKS; MULTI LAYER PERCEPTRON; NETWORK DIAGNOSIS; NEURAL NETWORK STRUCTURES; NOVEL METHODOLOGY; PROCESSING UNITS; SIMULATION STUDIES;

EID: 80955163290     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/GT2010-23586     Document Type: Conference Paper
Times cited : (19)

References (14)
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    • Recent advancements in aircraft engine health management (EHM) technologies and recommendations for the next step
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    • Jaw, L. C., 2005. "Recent advancements in aircraft engine health management (EHM) technologies and recommendations for the next step," Proc. of Turbo Expo 2005, Reno-Tahoe, NV, USA.
    • (2005) Proc. of Turbo Expo 2005
    • Jaw, L.C.1
  • 5
    • 0346317322 scopus 로고    scopus 로고
    • Application of a bank of Kalman filters for aircraft engine fault diagnostics
    • Atlanta, GA, USA
    • Kobayashi, T., and Simon, D. L., 2003. "Application of a bank of Kalman filters for aircraft engine fault diagnostics," Proc. of ASME Turbo Expo 2003, Atlanta, GA, USA.
    • (2003) Proc. of ASME Turbo Expo 2003
    • Kobayashi, T.1    Simon, D.L.2
  • 6
    • 52449116932 scopus 로고    scopus 로고
    • Dynamic modelling and robust fault detection of a gas turbine engine
    • Seattle, WA, USA
    • Dai, X., Breikin, T., Gao, Z., and Hong, W., 2008. "Dynamic modelling and robust fault detection of a gas turbine engine," Proc. of the American Control Conf., Seattle, WA, USA, pp. 2160-2165.
    • (2008) Proc. of the American Control Conf. , pp. 2160-2165
    • Dai, X.1    Breikin, T.2    Gao, Z.3    Hong, W.4
  • 7
    • 0034379257 scopus 로고    scopus 로고
    • Sensor/actuator fault diagnosis based on statistical analysis of innovation sequence and robust Kalman filtering
    • Hajiyev, C., and Kaliskan, F., 2000. "Sensor/actuator fault diagnosis based on statistical analysis of innovation sequence and robust Kalman filtering," Aerospace Science & Technology, vol. 4, pp. 415-422.
    • (2000) Aerospace Science & Technology , vol.4 , pp. 415-422
    • Hajiyev, C.1    Kaliskan, F.2
  • 9
    • 0036707312 scopus 로고    scopus 로고
    • Adaptive time delay neural network structures for nonlinear system identification
    • DOI 10.1016/S0925-2312(01)00589-6, PII S0925231201005896
    • Yazdizadeh, A., and Khorasani, K., 2002. "Adaptive time delay neural network structure for nonlinear system identification," NeuroComputing, Vol. 47, pp. 207-240. (Pubitemid 36230875)
    • (2002) Neurocomputing , vol.47 , pp. 207-240
    • Yazdizadeh, A.1    Khorasani, K.2
  • 11
    • 0024861871 scopus 로고
    • Approximation by superpositions of sigmoidal function
    • Cybenko, G. 1989. "Approximation by superpositions of sigmoidal function," Mathematics of control, signals and systems, Vol. 2, pp. 303-314.
    • (1989) Mathematics of Control, Signals and Systems , vol.2 , pp. 303-314
    • Cybenko, G.1
  • 12
    • 0003275264 scopus 로고
    • Parallel distributed processing
    • Cambridge, London, England
    • McClelland, J.L., and Rumelhart, D.E., 1988. "Parallel Distributed Processing," The MIT Press, Vol 1,2, Cambridge, London, England.
    • (1988) The MIT Press , vol.1 , pp. 2
    • McClelland, J.L.1    Rumelhart, D.E.2
  • 13
    • 33746176484 scopus 로고    scopus 로고
    • A modular code for real time dynamic simulation of gas turbines in simulink
    • DOI 10.1115/1.2132383
    • Camporeale, S. M., Fortunato, B., and Mastrovito, M.,2006. "A Modular code for real time dynamic simulation of gas turbines in SIMULINK," Journal of Engineering for Gas Turbines and Power, Vol. 128, pp. 506-517. (Pubitemid 44083613)
    • (2006) Journal of Engineering for Gas Turbines and Power , vol.128 , Issue.3 , pp. 506-517
    • Camporeale, S.M.1    Fortunato, B.2    Mastrovito, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.