메뉴 건너뛰기




Volumn 15, Issue 5, 2015, Pages 11402-11416

Intelligent detection of cracks in metallic surfaces using a waveguide sensor loaded with metamaterial elements

Author keywords

Artificial intelligence; Crack detection; Metamaterial; Split ring resonators; Waveguide sensors

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA HANDLING; EQUIPMENT; EQUIPMENT TESTING; METALLIC COMPOUNDS; METAMATERIALS; MICROWAVE SENSORS; SURFACE MEASUREMENT; WAVEGUIDES;

EID: 84929378539     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s150511402     Document Type: Article
Times cited : (39)

References (32)
  • 1
    • 54249143198 scopus 로고    scopus 로고
    • Microwave and Millimeter Wave Sensors for Crack Detection
    • Zoughi, R.; Kharkovsky, S. Microwave and Millimeter Wave Sensors for Crack Detection. Fatigue Fract. Eng. Mater. Struct. 2008, 31, 695–713.
    • (2008) Fatigue Fract. Eng. Mater. Struct , vol.31 , pp. 695-713
    • Zoughi, R.1    Kharkovsky, S.2
  • 2
    • 84881335664 scopus 로고    scopus 로고
    • Metal defects sizing and detection under thick coating using microwave
    • Zhang, H.; Gao, B.; Tian, G.Y.; Woo, W.L.; Bai, L. Metal defects sizing and detection under thick coating using microwave. NDT&E Int. 2013, 60, 52–61.
    • (2013) Ndt&E Int , vol.60 , pp. 52-61
    • Zhang, H.1    Gao, B.2    Tian, G.Y.3    Woo, W.L.4    Bai, L.5
  • 3
    • 77952268120 scopus 로고    scopus 로고
    • Depth evaluation of shallow surface cracks in metals using rectangular waveguides at millimeter-wave frequencies
    • McClanahan, A.; Kharkovsky, S.; Maxon, A.R.; Zoughi, R.; Palmer, D.D. Depth evaluation of shallow surface cracks in metals using rectangular waveguides at millimeter-wave frequencies. IEEE Trans. Instrum. Meas. 2010, 59, 1693–1704.
    • (2010) IEEE Trans. Instrum. Meas , vol.59 , pp. 1693-1704
    • McClanahan, A.1    Kharkovsky, S.2    Maxon, A.R.3    Zoughi, R.4    Palmer, D.D.5
  • 6
    • 84898467464 scopus 로고    scopus 로고
    • Waveguide Probe Loaded With Split-Ring Resonators for Crack Detection in Metallic Surfaces
    • Hu, B.; Ren, Z.; Boybay, M.; Ramahi, O. Waveguide Probe Loaded With Split-Ring Resonators for Crack Detection in Metallic Surfaces. IEEE Trans. Microw. Theory Tech. 2014, 62, 871–878.
    • (2014) IEEE Trans. Microw. Theory Tech , vol.62 , pp. 871-878
    • Hu, B.1    Ren, Z.2    Boybay, M.3    Ramahi, O.4
  • 7
    • 33846956777 scopus 로고    scopus 로고
    • The application of machine learning to structural health monitoring
    • Worden, K.; Manson, G. The application of machine learning to structural health monitoring. Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. 2007, 365, 515–537.
    • (2007) Philos. Trans. R. Soc. A Math. Phys. Eng. Sci , vol.365 , pp. 515-537
    • Worden, K.1    Manson, G.2
  • 8
    • 80053159949 scopus 로고    scopus 로고
    • Breast cancer detection based on differential ultrawideband microwave radar
    • Byrne, D.; O’Halloran, M.; Glavin, M.; Jones, E. Breast cancer detection based on differential ultrawideband microwave radar. Prog. Electromagn. Res. M 2011, 20, 231–242.
    • (2011) Prog. Electromagn. Res. M , vol.20 , pp. 231-242
    • Byrne, D.1    O’Halloran, M.2    Glavin, M.3    Jones, E.4
  • 9
    • 80053137377 scopus 로고    scopus 로고
    • Support vector machine-based ultrawideband breast cancer detection system
    • Byrne, D.; O’Halloran, M.; Jones, E.; Glavin, M. Support vector machine-based ultrawideband breast cancer detection system. J. Electromagn. Waves Appl. 2011, 25, 1807–1816.
    • (2011) J. Electromagn. Waves Appl , vol.25 , pp. 1807-1816
    • Byrne, D.1    O’Halloran, M.2    Jones, E.3    Glavin, M.4
  • 10
    • 78650506365 scopus 로고    scopus 로고
    • UWB Imaging for Breastr Cancer Detection Using Neural Network
    • AlShehri, S.A.; Khatun, S. UWB Imaging for Breastr Cancer Detection Using Neural Network. Prog. Electromagn. Res. C 2009, 7, 79–93.
    • (2009) Prog. Electromagn. Res. C , vol.7 , pp. 79-93
    • Alshehri, S.A.1    Khatun, S.2
  • 11
    • 80051960151 scopus 로고    scopus 로고
    • Measurement of complex permittivity using artificial neural networks
    • Hasan, A.; Peterson, A.F. Measurement of complex permittivity using artificial neural networks. IEEE Antennas Propag. Mag. 2011, 53, 200–203.
    • (2011) IEEE Antennas Propag. Mag , vol.53 , pp. 200-203
    • Hasan, A.1    Peterson, A.F.2
  • 13
    • 54249143198 scopus 로고    scopus 로고
    • Microwave and millimetre wave sensors for crack detection
    • Zoughi, R.; Kharkovsky, S. Microwave and millimetre wave sensors for crack detection. Fatigue Fract. Eng. Mater. Struct. 2008, 31, 695–713.
    • (2008) Fatigue Fract. Eng. Mater. Struct , vol.31 , pp. 695-713
    • Zoughi, R.1    Kharkovsky, S.2
  • 15
    • 0043126911 scopus 로고    scopus 로고
    • Logistic regression and artificial neural network classification models: A methodology review
    • Dreiseitl, S.; Ohno-Machado, L. Logistic regression and artificial neural network classification models: A methodology review. J. Biomed. Inform. 2002, 35, 352–359.
    • (2002) J. Biomed. Inform , vol.35 , pp. 352-359
    • Dreiseitl, S.1    Ohno-Machado, L.2
  • 16
    • 0035871395 scopus 로고    scopus 로고
    • Comparison of artificial neural networks with other statistical approaches
    • Sargent, D.J. Comparison of artificial neural networks with other statistical approaches. Cancer 2001, 91, 1636–1642.
    • (2001) Cancer , vol.91 , pp. 1636-1642
    • Sargent, D.J.1
  • 17
    • 27144491558 scopus 로고    scopus 로고
    • Compact size highly directive antennas based on the SRR metamaterial medium
    • Bulu, I.; Caglayan, H.; Aydin, K.; Ozbay, E. Compact size highly directive antennas based on the SRR metamaterial medium. New J. Phys. 2005, 7, doi:10.1088/1367-2630/7/1/223.
    • (2005) New J. Phys , pp. 7
    • Bulu, I.1    Caglayan, H.2    Aydin, K.3    Ozbay, E.4
  • 18
    • 84929341132 scopus 로고    scopus 로고
    • The role of geometry of inclusions in forming metamaterials with negative permittivity and permeability
    • Maastricht, The Netherlands, 17–27
    • Engheta, N.; Nelatury, S.R.; Hoorfar, A. The role of geometry of inclusions in forming metamaterials with negative permittivity and permeability. In Proceedings of the 2002 URSI General Assembly, Maastricht, The Netherlands, 17–27 August 2002.
    • (2002) Proceedings of the 2002 URSI General Assembly
    • Engheta, N.1    Nelatury, S.R.2    Hoorfar, A.3
  • 20
    • 79956293052 scopus 로고    scopus 로고
    • Asymmetric chiral metamaterial circular polarizer based on four U-shaped split ring resonators
    • Mutlu, M.; Akosman, A.E.; Serebryannikov, A.E.; Ozbay, E. Asymmetric chiral metamaterial circular polarizer based on four U-shaped split ring resonators. Opt. Lett. 2011, 36, 1653–1655.
    • (2011) Opt. Lett , vol.36 , pp. 1653-1655
    • Mutlu, M.1    Akosman, A.E.2    Serebryannikov, A.E.3    Ozbay, E.4
  • 21
  • 24
    • 0242415915 scopus 로고    scopus 로고
    • The comparison of activation functions for multispectral Landsat TM image classification
    • Özkan, C.; Erbek, F.S. The comparison of activation functions for multispectral Landsat TM image classification. Photogramm. Eng. Remote Sens. 2003, 69, 1225–1234.
    • (2003) Photogramm. Eng. Remote Sens , vol.69 , pp. 1225-1234
    • Özkan, C.1    Erbek, F.S.2
  • 25
    • 84901924319 scopus 로고    scopus 로고
    • Privacy Preserving Back-Propagation Neural Network Learning Made Practical with Cloud Computing
    • Yuan, J.; Yu, S. Privacy Preserving Back-Propagation Neural Network Learning Made Practical with Cloud Computing. IEEE Trans. Parallel Distrib. Syst. 2014, 25, 212–221.
    • (2014) IEEE Trans. Parallel Distrib. Syst , vol.25 , pp. 212-221
    • Yuan, J.1    Yu, S.2
  • 26
    • 84868367414 scopus 로고    scopus 로고
    • Artificial neural network simulation of hourly groundwater levels in a coastal aquifer system of the Venice lagoon
    • Taormina, R.; Chau, K.W.; Sethi, R. Artificial neural network simulation of hourly groundwater levels in a coastal aquifer system of the Venice lagoon. Eng. Appl. Artif. Intell. 2012, 25, 1670–1676.
    • (2012) Eng. Appl. Artif. Intell , vol.25 , pp. 1670-1676
    • Taormina, R.1    Chau, K.W.2    Sethi, R.3
  • 27
    • 34147105043 scopus 로고    scopus 로고
    • Application of a PSO-based neural network in analysis of outcomes of construction claims
    • Chau, K. Application of a PSO-based neural network in analysis of outcomes of construction claims. Autom. Constr. 2007, 16, 642–646.
    • (2007) Autom. Constr , vol.16 , pp. 642-646
    • Chau, K.1
  • 28
    • 33847379879 scopus 로고    scopus 로고
    • Hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training
    • Zhang, J.R.; Zhang, J.; Lok, T.M.; Lyu, M.R. A hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training. Appl. Math. Comput. 2007, 185, 1026–1037.
    • (2007) Appl. Math. Comput , vol.185 , pp. 1026-1037
    • Zhang, J.R.1    Zhang, J.2    Lok, T.M.3    Lyu, M.4
  • 30
    • 79955702502 scopus 로고    scopus 로고
    • LIBSVM: A Library for Support Vector Machines
    • Chang, C.C.; Lin, C.J. LIBSVM: A Library for Support Vector Machines. ACM Trans. Intell. Syst. Technol. 2011, 2, doi:10.1145/1961189.1961199.
    • (2011) ACM Trans. Intell. Syst. Technol , pp. 2
    • Chang, C.C.1    Lin, C.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.