메뉴 건너뛰기




Volumn 14, Issue 4, 2007, Pages 557-567

Rotating machinery diagnostics based on NARX models

Author keywords

Blade crack detection; NARX models; Neural networks; Rotating machinery diagnostics

Indexed keywords

ALGORITHMS; DAMAGE DETECTION; FAILURE (MECHANICAL); PROGRAM DIAGNOSTICS; ROTATING MACHINERY;

EID: 37049012270     PISSN: 1232308X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (6)

References (17)
  • 3
    • 2342561881 scopus 로고    scopus 로고
    • Ch. Chen, Ch. Mo. A method for intelligent fault diagnosis of rotating machinery. Digital Signal Processing, 14: 203-217, 2004.
    • Ch. Chen, Ch. Mo. A method for intelligent fault diagnosis of rotating machinery. Digital Signal Processing, 14: 203-217, 2004.
  • 11
    • 85122937690 scopus 로고    scopus 로고
    • Taylor and Francis, Boca Raton
    • A. Muszynska. Rotordynamics. Taylor and Francis, Boca Raton, 2005.
    • (2005) Rotordynamics
    • Muszynska, A.1
  • 12
    • 0034831495 scopus 로고    scopus 로고
    • Artificial neural network design for fault identification in a rotor-bearing system
    • N.S. Vyas, D. Satishkumar. Artificial neural network design for fault identification in a rotor-bearing system. Mechanism and Machine Theory, 36: 157-175,2001.
    • (2001) Mechanism and Machine Theory , vol.36 , pp. 157-175
    • Vyas, N.S.1    Satishkumar, D.2
  • 13
    • 0025399567 scopus 로고
    • Identification and control of dynamical systems using neural networks
    • K.S. Narendra, K. Parthasarathy. Identification and control of dynamical systems using neural networks. IEEE Trans. Neural Networks, 1(1): 4-27, 1990.
    • (1990) IEEE Trans. Neural Networks , vol.1 , Issue.1 , pp. 4-27
    • Narendra, K.S.1    Parthasarathy, K.2
  • 15
    • 0003396258 scopus 로고    scopus 로고
    • Neural Network Based System Identification Toolbox
    • Tech. Report. 00-E-891. Department of Automation, Technical University of Denmark
    • M. Norgaard. Neural Network Based System Identification Toolbox, Tech. Report. 00-E-891. Department of Automation, Technical University of Denmark, 2000.
    • (2000)
    • Norgaard, M.1
  • 17
    • 33947246080 scopus 로고    scopus 로고
    • Fault diagnosis of rotating machinery based on auto-associative neural networks and wavelet transforms
    • J. Sanz, R. Perera, C. Huerta. Fault diagnosis of rotating machinery based on auto-associative neural networks and wavelet transforms. Journal of Sound and Vibration, 302: 981-999, 2007.
    • (2007) Journal of Sound and Vibration , vol.302 , pp. 981-999
    • Sanz, J.1    Perera, R.2    Huerta, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.