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Volumn 40, Issue 5, 2006, Pages 558-562

Mechanical fault diagnosis model based on feature evaluation and neural networks

Author keywords

Empirical mode decomposition; Fault diagnosis model; Feature evaluation; Radial basis function networks; Wavelet packet

Indexed keywords

FAILURE (MECHANICAL); NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS;

EID: 33745935854     PISSN: 0253987X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (22)

References (8)
  • 1
    • 13644265998 scopus 로고    scopus 로고
    • Feature generation using genetic programming with application to fault classification
    • Guo H, Jack L B, Nandi A K. Feature generation using genetic programming with application to fault classification[J]. IEEE Transaction on System Man and Cybernetics, 2005, 35(1): 89-99.
    • (2005) IEEE Transaction on System Man and Cybernetics , vol.35 , Issue.1 , pp. 89-99
    • Guo, H.1    Jack, L.B.2    Nandi, A.K.3
  • 2
    • 2942560415 scopus 로고    scopus 로고
    • Artificial neural networks and genetic algorithms for gear fault detection
    • Samanta B. Artificial neural networks and genetic algorithms for gear fault detection[J]. Mechanical Systems and Signal Processing, 2004, 18(5): 1273-1282.
    • (2004) Mechanical Systems and Signal Processing , vol.18 , Issue.5 , pp. 1273-1282
    • Samanta, B.1
  • 3
    • 33745958306 scopus 로고    scopus 로고
    • Chinese source
  • 4
    • 5444236478 scopus 로고    scopus 로고
    • The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
    • Huang N E, Shen Z, Long S R, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. Proc R Soc Lond (A), 1998, 454(1): 903-995.
    • (1998) Proc R Soc Lond (A) , vol.454 , Issue.1 , pp. 903-995
    • Huang, N.E.1    Shen, Z.2    Long, S.R.3
  • 5
    • 33745941022 scopus 로고    scopus 로고
    • Chinese source
  • 7
    • 0345978376 scopus 로고    scopus 로고
    • Fault detection using support vector machines and artificial neural networks augmented by genetic algorithms
    • Jack L B, Nandi A K. Fault detection using support vector machines and artificial neural networks augmented by genetic algorithms[J]. Mechanical Systems and Signal Processing, 2002, 16(3): 373-390.
    • (2002) Mechanical Systems and Signal Processing , vol.16 , Issue.3 , pp. 373-390
    • Jack, L.B.1    Nandi, A.K.2
  • 8
    • 0942289508 scopus 로고    scopus 로고
    • ART-KOHONEN neural network for fault diagnosis of rotating machinery
    • Yang B S, Han T, An J L. ART-KOHONEN neural network for fault diagnosis of rotating machinery[J]. Mechanical Systems and Signal Processing, 2004, 18(3): 645-657.
    • (2004) Mechanical Systems and Signal Processing , vol.18 , Issue.3 , pp. 645-657
    • Yang, B.S.1    Han, T.2    An, J.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.