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Volumn , Issue , 2009, Pages 3891-3894

Source identification of turbine vibration based on independent component analysis with virtual signal channels

Author keywords

Blind source separation; ICA; Turbine vibration; Virtual channels

Indexed keywords

ICA; INDEPENDENT COMPONENTS; INPUT SIGNAL; MULTI-CHANNEL; PRIOR INFORMATION; SOURCE IDENTIFICATION; VIBRATION SIGNAL; VIRTUAL CHANNELS; VIRTUAL SIGNALS;

EID: 70349327844     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIEA.2009.5138936     Document Type: Conference Paper
Times cited : (2)

References (8)
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  • 2
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  • 3
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    • (2002) Neurocomputing-Special Issue on ICA/BSS
    • Ypma, A.1    Leshem, A.2    Duin, R.P.W.3
  • 4
    • 70349339710 scopus 로고    scopus 로고
    • Howard Hua Yang, Shu-ichi Amari, Adaptive Online Learning Algorithms for blind separation: Maximum Entropy and Minimum Mutual Information, Laboratory for Information Representation
    • Howard Hua Yang, Shu-ichi Amari, Adaptive Online Learning Algorithms for blind separation: Maximum Entropy and Minimum Mutual Information, Laboratory for Information Representation.
  • 5
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    • Blind beamforming for non-Gaussian signals
    • DECEMBER
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  • 8
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    • Aapo Hyva, rinen, Erkki Oja. A fast fixed-point algorithm for independent component analysis. Laboratory of Computer and Information Science, Helsinki University of Technology. Rakentajanaukio 2C, 02150 Espoo, Finland.
    • Aapo Hyva, rinen, Erkki Oja. A fast fixed-point algorithm for independent component analysis. Laboratory of Computer and Information Science, Helsinki University of Technology. Rakentajanaukio 2C, 02150 Espoo, Finland.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.