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Volumn , Issue , 2008, Pages 1088-1095

PCA based measures: Q-statistic and T2-statistic for assessing damages in structures

Author keywords

[No Author keywords available]

Indexed keywords

AIRCRAFT; MONITORING; PIEZOELECTRIC TRANSDUCERS; PRINCIPAL COMPONENT ANALYSIS; STRUCTURES (BUILT OBJECTS); STRUCTURAL HEALTH MONITORING;

EID: 62949092931     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (15)
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  • 4
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    • Structural damage detection using artificial neural networks and measured FRF data reduced via principal component projection
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  • 5
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    • Structural damage diagnosis under varying environmental conditions-part II: Local PCA for non-linear cases
    • A.M. Yan, G. Kerschen, P. De Boe and J.C. Golinval. 2005. "Structural damage diagnosis under varying environmental conditions-part II: local PCA for non-linear cases". Mechanical Systems and Signal Processing. 9:865-880.
    • (2005) Mechanical Systems and Signal Processing , vol.9 , pp. 865-880
    • Yan, A.M.1    Kerschen, G.2    De Boe, P.3    Golinval, J.C.4
  • 6
    • 40949126904 scopus 로고    scopus 로고
    • Electro- mechanical impedance-based wireless Structural Health Monitoring using PCA-data compression and k-means clustering algorithms
    • doi:10.1177/1045389X07077400
    • S. Park, J.J. Lee, C.B. Yun and D.J. Inman. 2007. "Electro- mechanical impedance-based wireless Structural Health Monitoring using PCA-data compression and k-means clustering algorithms". Journal of Intelligent Material Systems and Structures. doi:10.1177/1045389X07077400.
    • (2007) Journal of Intelligent Material Systems and Structures
    • Park, S.1    Lee, J.J.2    Yun, C.B.3    Inman, D.J.4
  • 7
    • 33748857906 scopus 로고    scopus 로고
    • 2006. Extracting Structural Damage Features: Comparison between PCA and ICA. Intelligent Computing in Signal Processing and Pattern Recognition. 840-845. Springer Berlin/Heidelberg.
    • 2006. "Extracting Structural Damage Features: Comparison between PCA and ICA". Intelligent Computing in Signal Processing and Pattern Recognition. 840-845. Springer Berlin/Heidelberg.
  • 8
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    • A feature extraction technique based on principal component analysis for pulsed Eddy current NDT
    • A. Sophian, G.Y. Tian, D. Taylor and J. Rudlin. 2003. "A feature extraction technique based on principal component analysis for pulsed Eddy current NDT". NDT&E internacional, 36:37-41
    • (2003) NDT&E internacional , vol.36 , pp. 37-41
    • Sophian, A.1    Tian, G.Y.2    Taylor, D.3    Rudlin, J.4
  • 9
    • 0034322535 scopus 로고    scopus 로고
    • Structural health monitoring using statistical process control
    • H. Sohn, J.A. Czarnecki and C.R. Farrar. 2000. "Structural health monitoring using statistical process control". Journal of Structural Engineering, 126(1), 1356-1363.
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  • 10
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    • Damage detection using stress waves and multivariate statistics: An experimental case study of an aircraft component
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    • (2007) Strain , vol.43 , Issue.1 , pp. 47-53
    • Mustapha, F.1    Worden, K.2    Pierce, S.G.3    Manson, G.4
  • 11
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    • Vibration-based damage detection in an aircraft wing scaled model using principal component analysis and pattern recognition
    • In press
    • I. Trendafilova, M.P. Cartmell and W. Ostachowicz. 2008. "Vibration-based damage detection in an aircraft wing scaled model using principal component analysis and pattern recognition". Journal of Sound and Vibration. In press.
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    • Trendafilova, I.1    Cartmell, M.P.2    Ostachowicz, W.3
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  • 13
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.