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Volumn 313, Issue 3-5, 2008, Pages 560-566

Vibration-based damage detection in an aircraft wing scaled model using principal component analysis and pattern recognition

Author keywords

[No Author keywords available]

Indexed keywords

FREQUENCY BANDS; MATHEMATICAL MODELS; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; VIBRATIONS (MECHANICAL); WINGS;

EID: 41549169072     PISSN: 0022460X     EISSN: 10958568     Source Type: Journal    
DOI: 10.1016/j.jsv.2007.12.008     Document Type: Article
Times cited : (87)

References (16)
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  • 2
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    • A study on vibration-based damage detection and location in an aircraft wing scaled model
    • Trendafilova I. A study on vibration-based damage detection and location in an aircraft wing scaled model. Applied Mechanics and Materials 3-4 (2005) 309-314
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    • Trendafilova, I.1
  • 8
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    • Experimental validation of a structural health monitoring methodology: part II. Novelty detection on a gnat aircraft
    • Manson G., Worden K., and Allman D. Experimental validation of a structural health monitoring methodology: part II. Novelty detection on a gnat aircraft. Journal of Sound and Vibration 259 2 (2003) 345-363
    • (2003) Journal of Sound and Vibration , vol.259 , Issue.2 , pp. 345-363
    • Manson, G.1    Worden, K.2    Allman, D.3
  • 9
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    • Trendafilova, I.1    Heylen, W.2
  • 10
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    • Novel health monitoring procedure for reinforced concrete slabs
    • Trendafilova I., and Imbabi M. Novel health monitoring procedure for reinforced concrete slabs. AMM-Applied Mechanics and Materials 1 (2004) 65-71
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    • Trendafilova, I.1    Imbabi, M.2
  • 11
    • 29144497217 scopus 로고    scopus 로고
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    • Ni Y.Q., Zhou X.T., and Ko J.M. Experimental investigation of seismic damage identification using PCA-compressed frequency response functions and neural networks. Journal of Sound and Vibration 290 (2006) 242-263
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    • Ni, Y.Q.1    Zhou, X.T.2    Ko, J.M.3
  • 12
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    • Structural damage detection using artificial neural networks and measured FRF data reduced via principal component projection
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  • 13
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  • 16
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.