메뉴 건너뛰기




Volumn 27, Issue 1, 2016, Pages 121-130

Fast detection of impact location using kernel extreme learning machine

Author keywords

Damage location detection; Kernel ELM; Plate structure

Indexed keywords

BACKPROPAGATION; COMPLEX NETWORKS; DAMAGE DETECTION; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; LOCATION; NEURAL NETWORKS; PLATES (STRUCTURAL COMPONENTS); SUPPORT VECTOR MACHINES;

EID: 84953360217     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-014-1568-2     Document Type: Article
Times cited : (63)

References (28)
  • 2
    • 50849088951 scopus 로고    scopus 로고
    • Impact damage detection in aircraft composites using knowledge-based reasoning
    • Mujica LE, Vehi J, Staszewski W, Worden K (2008) Impact damage detection in aircraft composites using knowledge-based reasoning. Struct Health Monit 7:215–230
    • (2008) Struct Health Monit , vol.7 , pp. 215-230
    • Mujica, L.E.1    Vehi, J.2    Staszewski, W.3    Worden, K.4
  • 3
    • 33750329863 scopus 로고    scopus 로고
    • Impact detection in an aircraft composite panel: a neural-network approach
    • LeClerc J, Worden K, Staszewski W, Haywood J (2007) Impact detection in an aircraft composite panel: a neural-network approach. J Sound Vib 299:672–682
    • (2007) J Sound Vib , vol.299 , pp. 672-682
    • LeClerc, J.1    Worden, K.2    Staszewski, W.3    Haywood, J.4
  • 5
    • 0030675280 scopus 로고    scopus 로고
    • Detection of impact location and magnitude for isotropic plates using neural networks
    • Jones RT, Sirkis JS, Friebele E (1997) Detection of impact location and magnitude for isotropic plates using neural networks. J Intell Mater Syst Struct 8:90–99
    • (1997) J Intell Mater Syst Struct , vol.8 , pp. 90-99
    • Jones, R.T.1    Sirkis, J.S.2    Friebele, E.3
  • 7
    • 0034149107 scopus 로고    scopus 로고
    • Impact monitoring of smart composite laminates using neural network and wavelet analysis
    • Sung D-U, Oh J-H, Kim C-G, Hong C-S (2000) Impact monitoring of smart composite laminates using neural network and wavelet analysis. J Intell Mater Syst Struct 11:180–190
    • (2000) J Intell Mater Syst Struct , vol.11 , pp. 180-190
    • Sung, D.-U.1    Oh, J.-H.2    Kim, C.-G.3    Hong, C.-S.4
  • 8
    • 0032327110 scopus 로고    scopus 로고
    • A combined genetic and eigensensitivity algorithm for the location of damage in structures
    • Friswell MI, Penny JET, Garvey SD (1998) A combined genetic and eigensensitivity algorithm for the location of damage in structures. Comput and Struct 69:547–556
    • (1998) Comput and Struct , vol.69 , pp. 547-556
    • Friswell, M.I.1    Penny, J.E.T.2    Garvey, S.D.3
  • 9
    • 0035501229 scopus 로고    scopus 로고
    • Detection and characterization of high-velocity impact damage in advanced composite plates using multi-sensing techniques
    • Okafor AC, Otieno AW, Dutta A, Rao VS (2001) Detection and characterization of high-velocity impact damage in advanced composite plates using multi-sensing techniques. Compos Struct 54:289–297
    • (2001) Compos Struct , vol.54 , pp. 289-297
    • Okafor, A.C.1    Otieno, A.W.2    Dutta, A.3    Rao, V.S.4
  • 11
    • 55349128171 scopus 로고    scopus 로고
    • Impact load identification of composite structure using genetic algorithms
    • Yan G, Zhou L (2009) Impact load identification of composite structure using genetic algorithms. J Sound Vib 319:869–884
    • (2009) J Sound Vib , vol.319 , pp. 869-884
    • Yan, G.1    Zhou, L.2
  • 12
    • 0033728785 scopus 로고    scopus 로고
    • Impact location and quantification on a composite panel using neural networks and a genetic algorithm
    • Worden K, Staszewski W (2000) Impact location and quantification on a composite panel using neural networks and a genetic algorithm. Strain 36:61–68
    • (2000) Strain , vol.36 , pp. 61-68
    • Worden, K.1    Staszewski, W.2
  • 13
    • 80455150418 scopus 로고    scopus 로고
    • Rate-dependent hysteresis modeling and control of a piezostage using online support vector machine and relevance vector machine
    • Wong P-K, Xu Q, Vong C-M, Wong H-C (2012) Rate-dependent hysteresis modeling and control of a piezostage using online support vector machine and relevance vector machine. IEEE Trans Ind Electron 59:1988–2001
    • (2012) IEEE Trans Ind Electron , vol.59 , pp. 1988-2001
    • Wong, P.-K.1    Xu, Q.2    Vong, C.-M.3    Wong, H.-C.4
  • 14
    • 80053568029 scopus 로고    scopus 로고
    • Hysteresis modeling and compensation of a piezostage using least squares support vector machines
    • Xu Q, Wong P-K (2011) Hysteresis modeling and compensation of a piezostage using least squares support vector machines. Mechatronics 21:1239–1251
    • (2011) Mechatronics , vol.21 , pp. 1239-1251
    • Xu, Q.1    Wong, P.-K.2
  • 16
    • 84877308205 scopus 로고    scopus 로고
    • Locating impact on structural plate using principal component analysis and support vector machines
    • Fu H, Xu Q (2013) Locating impact on structural plate using principal component analysis and support vector machines. Math Probl Eng 2013. http://dx.doi.org/10.1155/2013/352149
    • (2013) Math Probl Eng , pp. 2013
    • Fu, H.1    Xu, Q.2
  • 18
    • 33745903481 scopus 로고    scopus 로고
    • Extreme learning machine: theory and applications
    • Huang G-B, Zhu Q-Y, Siew C-K (2006) Extreme learning machine: theory and applications. Neurocomputing 70:489–501
    • (2006) Neurocomputing , vol.70 , pp. 489-501
    • Huang, G.-B.1    Zhu, Q.-Y.2    Siew, C.-K.3
  • 19
    • 33745918399 scopus 로고    scopus 로고
    • Universal approximation using incremental constructive feedforward networks with random hidden nodes
    • Huang G-B, Chen L, Siew C-K (2006) Universal approximation using incremental constructive feedforward networks with random hidden nodes. IEEE Trans Neural Netw 17:879–892
    • (2006) IEEE Trans Neural Netw , vol.17 , pp. 879-892
    • Huang, G.-B.1    Chen, L.2    Siew, C.-K.3
  • 22
    • 38649131505 scopus 로고    scopus 로고
    • Incremental extreme learning machine with fully complex hidden nodes
    • Huang G-B, Li M-B, Chen L, Siew C-K (2008) Incremental extreme learning machine with fully complex hidden nodes. Neurocomputing 71:576–583
    • (2008) Neurocomputing , vol.71 , pp. 576-583
    • Huang, G.-B.1    Li, M.-B.2    Chen, L.3    Siew, C.-K.4
  • 26
    • 34548158996 scopus 로고    scopus 로고
    • Convex incremental extreme learning machine
    • Huang G-B, Chen L (2007) Convex incremental extreme learning machine. Neurocomputing 70:3056–3062
    • (2007) Neurocomputing , vol.70 , pp. 3056-3062
    • Huang, G.-B.1    Chen, L.2
  • 27
    • 56549090053 scopus 로고    scopus 로고
    • Enhanced random search based incremental extreme learning machine
    • Huang G-B, Chen L (2008) Enhanced random search based incremental extreme learning machine. Neurocomputing 71:3460–3468
    • (2008) Neurocomputing , vol.71 , pp. 3460-3468
    • Huang, G.-B.1    Chen, L.2
  • 28
    • 84953361701 scopus 로고    scopus 로고
    • (2013) kernel ELM toolbox, Matlab toolbox for kernel ELM
    • (2013) kernel ELM toolbox, Matlab toolbox for kernel ELM. Available: http://www.ntu.edu.sg/home/egbhuang/elm_kernel.html


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.