메뉴 건너뛰기




Volumn 76, Issue , 2015, Pages 45-61

Fault diagnosis on beam-like structures from modal parameters using artificial neural networks

Author keywords

Artificial neural networks (ANNs); Damage identification; Ensemble neural network; Finite element analysis; Modal analysis; Modal parameters

Indexed keywords

ARTIFICIAL INTELLIGENCE; FAULT DETECTION; FINITE ELEMENT METHOD; MODAL ANALYSIS; NEURAL NETWORKS; VIBRATION ANALYSIS;

EID: 84941363651     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2015.08.021     Document Type: Article
Times cited : (93)

References (32)
  • 1
    • 84899425171 scopus 로고    scopus 로고
    • Detection and localization of multiple cracks in a shaft system: An experimental investigation
    • S.K. Singh, and R. Tiwari Detection and localization of multiple cracks in a shaft system: an experimental investigation Measurement 53 2014 182 193
    • (2014) Measurement , vol.53 , pp. 182-193
    • Singh, S.K.1    Tiwari, R.2
  • 2
    • 84870653030 scopus 로고    scopus 로고
    • Damage identification in composite materials using ultrasonic based Lamb wave method
    • B.S. Ben, B.A. Ben, K.A. Vikram, and S.H. Yang Damage identification in composite materials using ultrasonic based Lamb wave method Measurement 46 2013 904 912
    • (2013) Measurement , vol.46 , pp. 904-912
    • Ben, B.S.1    Ben, B.A.2    Vikram, K.A.3    Yang, S.H.4
  • 4
    • 84905969947 scopus 로고    scopus 로고
    • Modal parameters based structural damage detection using artificial neural networks - A review
    • S.J.S. Hakim, and H. Abdul Razak Modal parameters based structural damage detection using artificial neural networks - a review Smart Struct. Syst. 14 2 2014 159 189
    • (2014) Smart Struct. Syst. , vol.14 , Issue.2 , pp. 159-189
    • Hakim, S.J.S.1    Abdul Razak, H.2
  • 5
    • 84863720634 scopus 로고    scopus 로고
    • Estimating ultrasonic time of flight using envelope and quasi maximum likelihood method for damage detection and assessment
    • M.R. Hoseini, X. Wang, and M.J. Zuo Estimating ultrasonic time of flight using envelope and quasi maximum likelihood method for damage detection and assessment Measurement 45 2012 2072 2080
    • (2012) Measurement , vol.45 , pp. 2072-2080
    • Hoseini, M.R.1    Wang, X.2    Zuo, M.J.3
  • 7
    • 84893972777 scopus 로고    scopus 로고
    • Damage detection in Timoshenko beam structures by multilayer perceptron and radial basis function networks
    • K. Aydin, and O. Kisi Damage detection in Timoshenko beam structures by multilayer perceptron and radial basis function networks Neural Comput. Appl. 24 3-4 2012 583 597
    • (2012) Neural Comput. Appl. , vol.24 , Issue.3-4 , pp. 583-597
    • Aydin, K.1    Kisi, O.2
  • 9
    • 33747345856 scopus 로고    scopus 로고
    • Damage assessment of prestressed concrete beams using artificial neural network (ANN) approach
    • C.A. Jeyasehar, and K. Sumangala Damage assessment of prestressed concrete beams using artificial neural network (ANN) approach J. Comput. Struct. 84 2006 1709 1718
    • (2006) J. Comput. Struct. , vol.84 , pp. 1709-1718
    • Jeyasehar, C.A.1    Sumangala, K.2
  • 10
    • 77950598707 scopus 로고    scopus 로고
    • Structure damage detection using neural network with multi-stage substructuring
    • N. Bakhary, H. Hao, and A.J. Deeks Structure damage detection using neural network with multi-stage substructuring Adv. Struct. Eng. 13 1 2010 1 16
    • (2010) Adv. Struct. Eng. , vol.13 , Issue.1 , pp. 1-16
    • Bakhary, N.1    Hao, H.2    Deeks, A.J.3
  • 11
    • 84876835623 scopus 로고    scopus 로고
    • Structural damage detection of steel bridge girder using artificial neural networks and finite element models
    • S.J.S. Hakim, and H. Abdul Razak Structural damage detection of steel bridge girder using artificial neural networks and finite element models Steel Compos. Struct. 4 14 2013 367 377
    • (2013) Steel Compos. Struct. , vol.4 , Issue.14 , pp. 367-377
    • Hakim, S.J.S.1    Abdul Razak, H.2
  • 12
    • 84897387414 scopus 로고    scopus 로고
    • Frequency response function-based structural damage identification using artificial neural networks - A review
    • S.J.S. Hakim, and H. Abdul Razak Frequency response function-based structural damage identification using artificial neural networks - a review Res. J. Appl. Sci., Eng. Technol. 7 9 2014 1750 1764
    • (2014) Res. J. Appl. Sci., Eng. Technol. , vol.7 , Issue.9 , pp. 1750-1764
    • Hakim, S.J.S.1    Abdul Razak, H.2
  • 13
    • 84875424199 scopus 로고    scopus 로고
    • Adaptive neuro-fuzzy inference system (ANFIS) and artificial neural networks (ANNs) for structural damage identification
    • S.J.S. Hakim, and H. Abdul Razak Adaptive neuro-fuzzy inference system (ANFIS) and artificial neural networks (ANNs) for structural damage identification Struct. Eng. Mech. 45 6 2013 779 802
    • (2013) Struct. Eng. Mech. , vol.45 , Issue.6 , pp. 779-802
    • Hakim, S.J.S.1    Abdul Razak, H.2
  • 14
    • 84455181467 scopus 로고    scopus 로고
    • Application of combined artificial neural networks and modal analysis for structural damage identification in bridge girder
    • S.J.S. Hakim, and H. Abdul Razak Application of combined artificial neural networks and modal analysis for structural damage identification in bridge girder Int. J. Phys. Sci. (IJPS) 6 35 2011 7991 8001
    • (2011) Int. J. Phys. Sci. (IJPS) , vol.6 , Issue.35 , pp. 7991-8001
    • Hakim, S.J.S.1    Abdul Razak, H.2
  • 15
    • 84857356877 scopus 로고    scopus 로고
    • Adaptive vision-based crack detection using 3D scene reconstruction for condition assessment of structures
    • M.R. Jahanshahi, and S.F. Masri Adaptive vision-based crack detection using 3D scene reconstruction for condition assessment of structures Automat. Constr. 22 2012 567 576
    • (2012) Automat. Constr. , vol.22 , pp. 567-576
    • Jahanshahi, M.R.1    Masri, S.F.2
  • 17
    • 84907854703 scopus 로고    scopus 로고
    • Fault diagnosis of rolling bearings using a genetic algorithm optimized neural network
    • M. Unal, M. Onat, M. Demetgul, and H. Kucuk Fault diagnosis of rolling bearings using a genetic algorithm optimized neural network Measurement 58 2014 187 196
    • (2014) Measurement , vol.58 , pp. 187-196
    • Unal, M.1    Onat, M.2    Demetgul, M.3    Kucuk, H.4
  • 18
    • 0031108791 scopus 로고    scopus 로고
    • Neural networks applied for the identification and fault diagnosis of process valves and actuators
    • J. McGhee, I.A. Henderson, and A. Baird Neural networks applied for the identification and fault diagnosis of process valves and actuators Measurement 20 4 1997 267 275
    • (1997) Measurement , vol.20 , Issue.4 , pp. 267-275
    • McGhee, J.1    Henderson, I.A.2    Baird, A.3
  • 19
    • 84902653249 scopus 로고    scopus 로고
    • A novel neural network method for wind speed forecasting using exogenous measurements from agriculture stations
    • J.C.P. Salas, A.A. Perez, J.J.G. Rosa, and A.M. Munoz A novel neural network method for wind speed forecasting using exogenous measurements from agriculture stations Measurement 55 2014 295 304
    • (2014) Measurement , vol.55 , pp. 295-304
    • Salas, J.C.P.1    Perez, A.A.2    Rosa, J.J.G.3    Munoz, A.M.4
  • 20
    • 84908308703 scopus 로고    scopus 로고
    • Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks
    • E. Momeni, D.J. Armaghani, M. Hajihassani, and M.F.M. Amin Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks Measurement 60 2015 50 63
    • (2015) Measurement , vol.60 , pp. 50-63
    • Momeni, E.1    Armaghani, D.J.2    Hajihassani, M.3    Amin, M.F.M.4
  • 23
    • 79956213944 scopus 로고    scopus 로고
    • Application of artificial neural networks to predict compressive strength of high strength concrete
    • S.J.S. Hakim, J. Noorzaei, M.S. Jaafar, M. Jameel, and M. Mohammadhassani Application of artificial neural networks to predict compressive strength of high strength concrete Int. J. Phys. Sci. (IJPS) 6 5 2011 975 981
    • (2011) Int. J. Phys. Sci. (IJPS) , vol.6 , Issue.5 , pp. 975-981
    • Hakim, S.J.S.1    Noorzaei, J.2    Jaafar, M.S.3    Jameel, M.4    Mohammadhassani, M.5
  • 24
    • 35648977118 scopus 로고    scopus 로고
    • An optimal architecture of artificial neural network for predicting of compressive strength of concrete
    • J. Noorzaei, S.J.S. Hakim, M.S. Jaafar, A.A.A. Abang, and W.A.M. Thanoon An optimal architecture of artificial neural network for predicting of compressive strength of concrete Indian Concr. J. 81 8 2007 17 24
    • (2007) Indian Concr. J. , vol.81 , Issue.8 , pp. 17-24
    • Noorzaei, J.1    Hakim, S.J.S.2    Jaafar, M.S.3    Abang, A.A.A.4    Thanoon, W.A.M.5
  • 25
    • 84875458852 scopus 로고    scopus 로고
    • An approach to predict ultimate bearing capacity of surface footings using artificial neural network
    • J. Noorzaei, S.J.S. Hakim, and M.S. Jaafar An approach to predict ultimate bearing capacity of surface footings using artificial neural network Indian Geotech. J. 38 4 2008 515 528
    • (2008) Indian Geotech. J. , vol.38 , Issue.4 , pp. 515-528
    • Noorzaei, J.1    Hakim, S.J.S.2    Jaafar, M.S.3
  • 28
    • 0033131657 scopus 로고    scopus 로고
    • Fault identification using finite element models and neural networks
    • T. Marwala, and H.E.M. Hunt Fault identification using finite element models and neural networks Mech. Syst. Signal Process. 13 1999 475 490
    • (1999) Mech. Syst. Signal Process. , vol.13 , pp. 475-490
    • Marwala, T.1    Hunt, H.E.M.2
  • 30
    • 0030372023 scopus 로고    scopus 로고
    • Combining artificial neural nets: Modular approaches
    • A.J.C. Sharkey Combining artificial neural nets: modular approaches Connect. Sci. 8 3-4 1996
    • (1996) Connect. Sci. , vol.8 , Issue.3-4
    • Sharkey, A.J.C.1
  • 31
    • 0020237859 scopus 로고
    • Experimental modal analysis, structural modifications and FEM analysis on a desktop computer
    • Society for Experimental Mechanics (SEM), Orlando, FL, US
    • K.A. Ramsey, Experimental modal analysis, structural modifications and FEM analysis on a desktop computer, in: Proceedings of the 1st International Modal Analysis Conference (IMAC I), Society for Experimental Mechanics (SEM), Orlando, FL, US, 1982.
    • (1982) Proceedings of the 1st International Modal Analysis Conference (IMAC I)
    • Ramsey, K.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.