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Volumn 330, Issue 15, 2011, Pages 3766-3782

Bivariate empirical mode decomposition and its contribution to wind turbine condition monitoring

Author keywords

[No Author keywords available]

Indexed keywords

BIVARIATE; ELECTRICAL FAULTS; EMPIRICAL MODE DECOMPOSITION; HARSH ENVIRONMENT; HIGH AVAILABILITY; INCIPIENT FAULTS; MONITORING TECHNIQUES; NONSTATIONARY; OFFSHORE WIND TURBINES; SHAFT VIBRATIONS;

EID: 79955522082     PISSN: 0022460X     EISSN: 10958568     Source Type: Journal    
DOI: 10.1016/j.jsv.2011.02.027     Document Type: Article
Times cited : (92)

References (21)
  • 1
    • 79955521734 scopus 로고    scopus 로고
    • Available from (accessed 25.01.10)
    • BWEA, UK Wind Farm Statistics. Available from: 〈 http://www.bwea.com/statistics 〉 (accessed 25.01.10).
    • UK Wind Farm Statistics
  • 2
    • 79955522536 scopus 로고    scopus 로고
    • Global Wind Energy Council (GWEC)
    • Global Wind Energy Council (GWEC), Global Wind 2008 Report, 2008.
    • (2008) Global Wind 2008 Report
  • 8
    • 63849321051 scopus 로고    scopus 로고
    • Structural health monitoring for a wind turbine system: A review of damage detection methods
    • C.C. Ciang, J.R. Lee, and H.J. Bang Structural health monitoring for a wind turbine system: a review of damage detection methods Measurement Science and Technology 19 2008 1 20
    • (2008) Measurement Science and Technology , vol.19 , pp. 1-20
    • Ciang, C.C.1    Lee, J.R.2    Bang, H.J.3
  • 10
    • 33947371235 scopus 로고    scopus 로고
    • Enhancement of damage detection of wind turbine blade via CWT-based approaches
    • S.S. Tsai, C.T. Hsieh, and S.J. Huang Enhancement of damage detection of wind turbine blade via CWT-based approaches IEEE Transactions on Energy Conversion 21 3 2006 776 781
    • (2006) IEEE Transactions on Energy Conversion , vol.21 , Issue.3 , pp. 776-781
    • Tsai, S.S.1    Hsieh, C.T.2    Huang, S.J.3
  • 11
    • 56749173886 scopus 로고    scopus 로고
    • Condition monitoring and fault diagnosis of a wind turbine synchronous generator drive train
    • Wenxian Yang, P.J. Tavner, and M.R. Wilkinson Condition monitoring and fault diagnosis of a wind turbine synchronous generator drive train IET Renewable Power Generation 3 1 2009 1 11
    • (2009) IET Renewable Power Generation , vol.3 , Issue.1 , pp. 1-11
    • Yang, W.1    Tavner, P.J.2    Wilkinson, M.R.3
  • 13
    • 60349128109 scopus 로고    scopus 로고
    • Empirical mode decomposition, an adaptive approach for interpreting shaft vibratory signals of large rotating machinery
    • Wenxian Yang, and P.J. Tavner Empirical mode decomposition, an adaptive approach for interpreting shaft vibratory signals of large rotating machinery Journal of Sound and Vibration 321 35 2009 1144 1170
    • (2009) Journal of Sound and Vibration , vol.321 , Issue.35 , pp. 1144-1170
    • Yang, W.1    Tavner, P.J.2
  • 14
    • 84870017047 scopus 로고    scopus 로고
    • Crabtree, An intelligent approach to the condition monitoring of large scale wind turbines
    • 16-19 March Marsille, France
    • Wenxian Yang, P.J. Tavner, C.J. Crabtree, An intelligent approach to the condition monitoring of large scale wind turbines, European Wind Energy Conference and Exhibition (EWEC2009), 1619 March 2009, Marsille, France.
    • (2009) European Wind Energy Conference and Exhibition (EWEC2009)
    • Wenxian Yang, P.J.1    Tavner, C.J.2
  • 16
    • 33847675789 scopus 로고    scopus 로고
    • Complex empirical mode decomposition
    • DOI 10.1109/LSP.2006.882107
    • T. Tanaka, and D.P. Mandic Complex empirical mode decomposition IEEE Signal Processing Letters 14 2 2007 101 104 (Pubitemid 46351330)
    • (2007) IEEE Signal Processing Letters , vol.14 , Issue.2 , pp. 101-104
    • Tanaka, T.1    Mandic, D.P.2
  • 18
    • 0034948005 scopus 로고    scopus 로고
    • Boundary-processing-technique in EMD method and Hilbert transform
    • Y.J. Deng, W. Wang, C.C. Qian, Z. Wang, and D.J. Dai Boundary-processing- technique in EMD method and Hilbert transform Chinese Science Bulletin 46 1 2001 954 960
    • (2001) Chinese Science Bulletin , vol.46 , Issue.1 , pp. 954-960
    • Deng, Y.J.1    Wang, W.2    Qian, C.C.3    Wang, Z.4    Dai, D.J.5
  • 19
    • 0344443880 scopus 로고    scopus 로고
    • Induction motor stator faults diagnosis by a current Concordia pattern-based fuzzy decision system
    • F Zidani, M.E.H. Benbouzid, D. Diallo, and M.S. Nait-Said Induction motor stator faults diagnosis by a current Concordia pattern-based fuzzy decision system IEEE Transactions on Energy Conversion 18 4 2003 469 475
    • (2003) IEEE Transactions on Energy Conversion , vol.18 , Issue.4 , pp. 469-475
    • Zidani, F.1    Benbouzid, M.E.H.2    Diallo, D.3    Nait-Said, M.S.4
  • 20
    • 33947357042 scopus 로고    scopus 로고
    • Unsupervised neural-network-based algorithm for an on-line diagnosis of three-phase induction motor stator fault
    • DOI 10.1109/TIE.2006.888790
    • J.F Martins, V.F. Pires, and A.J. Pires Unsupervised neural-network-based algorithm for an on-line diagnosis of three-phase induction motor stator fault IEEE Transactions on Industrial Electronics 54 1 2007 259 264 (Pubitemid 46444023)
    • (2007) IEEE Transactions on Industrial Electronics , vol.54 , Issue.1 , pp. 259-264
    • Martins, J.F.1    Pires, V.F.2    Pires, A.J.3
  • 21
    • 0035439225 scopus 로고    scopus 로고
    • Stator winding fault diagnosis in three-phase synchronous and asynchronous motors, by the extended park's vector approach
    • DOI 10.1109/28.952496, PII S0093999401083025
    • S.M.A. Cruz, and A.J.M. Cardoso Stator winding fault diagnosis in three-phase synchronous and asynchronous motors by the extended Parks vector approach IEEE Transactions on Industry Applications 37 5 2001 1227 1233 (Pubitemid 32992789)
    • (2001) IEEE Transactions on Industry Applications , vol.37 , Issue.5 , pp. 1227-1233
    • Cruz, S.M.A.1    Marques Cardoso, A.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.