메뉴 건너뛰기




Volumn 8, Issue 1, 2000, Pages 25-46

Damage identification using multivariate statistics: Kernel discriminant analysis

Author keywords

Damage identification; Multivariate statistics; Neural networks

Indexed keywords


EID: 0002916415     PISSN: 10682767     EISSN: None     Source Type: Journal    
DOI: 10.1080/174159700088027717     Document Type: Article
Times cited : (16)

References (17)
  • 1
    • 0003285688 scopus 로고    scopus 로고
    • Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review
    • Doebling, S. W., Farrar, C. R., Prime, M. B. and Shevitz, D. W. (1996). Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: a literature review, Los Alamos National Laboratories Report, LA-13070-MS.
    • (1996) Los Alamos National Laboratories Report , vol.LA-13070-MS
    • Doebling, S.W.1    Farrar, C.R.2    Prime, M.B.3    Shevitz, D.W.4
  • 3
    • 21744435051 scopus 로고    scopus 로고
    • Classification of faults in gearboxes -pre-processing algorithms and neural networks
    • Staszewski, W. J. and Worden, K. (1996). Classification of faults in gearboxes -pre-processing algorithms and neural networks, Neural Computing and Applications, 5, 160-183.
    • (1996) Neural Computing and Applications , vol.5 , pp. 160-183
    • Staszewski, W.J.1    Worden, K.2
  • 5
    • 85037450486 scopus 로고    scopus 로고
    • Statistical independence and novelty detection with information preserving nonlinear maps
    • Parra, L., Deco, G. and Miesbach, S., Statistical independence and novelty detection with information preserving nonlinear maps, Neural Computation.
    • Neural Computation
    • Parra, L.1    Deco, G.2    Miesbach, S.3
  • 7
    • 0002806238 scopus 로고    scopus 로고
    • Damage detection using multivariate statistics. Part II: Kernel density estimation
    • Leuven, Belgium
    • Worden, K. (1998). Damage detection using multivariate statistics. Part II: Kernel density estimation, Proceedings of ISMA 23, Noise and Vibration Engineering Conference, Leuven, Belgium, pp. 81-89.
    • (1998) Proceedings of ISMA 23, Noise and Vibration Engineering Conference , pp. 81-89
    • Worden, K.1
  • 14
    • 0001595997 scopus 로고
    • Neural network classifiers estimate Bayesian a posteriori probabilities
    • Richard, M. D. and Lippman, R. P. (1991). Neural network classifiers estimate Bayesian a posteriori probabilities, Neural Computation, 3, 461-483.
    • (1991) Neural Computation , vol.3 , pp. 461-483
    • Richard, M.D.1    Lippman, R.P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.