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Volumn , Issue , 2013, Pages 6220-6224

Sensor fault detection with online sparse least squares support vector machine

Author keywords

LSSVM; OS LSSVM; sensor fault detection

Indexed keywords

REGRESSION ANALYSIS;

EID: 84890504913     PISSN: 19341768     EISSN: 21612927     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (10)
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    • Zhang, X.D.1    Zhang, Q.2    Sonti, N.3
  • 3
    • 84863239863 scopus 로고    scopus 로고
    • Prediction of water quality time series data based on least squares support vector machine
    • G. H. Tan, J. ZH. Yan, Prediction of water quality time series data based on least squares support vector machine. Procedia Engineering, 2012. 31: 1194-1199.
    • (2012) Procedia Engineering , vol.31 , pp. 1194-1199
    • Tan, G.H.1    Zh. Yan, J.2
  • 4
    • 84890462312 scopus 로고    scopus 로고
    • Research on Online Fault Prediction Model of Electronic Equipment Based Online Sparse Least Square Support Vector Machine
    • Y. Zhao, G. Sh. Chen, S. S. Ma. Research on Online Fault Prediction Model of Electronic Equipment Based Online Sparse Least Square Support Vector Machine. Computer Measurement and Control. 2012. 20(11): 2903-2908.
    • (2012) Computer Measurement and Control , vol.20 , Issue.11 , pp. 2903-2908
    • Zhao, Y.1    Sh. Chen, G.2    Ma, S.S.3
  • 5
    • 84862976277 scopus 로고    scopus 로고
    • Nonlinear modeling of bearingless permanent magnet synchronous motors with least squares support vector machines
    • X. D. Sun, H. Q. Zhu, Z. B. Yang. Nonlinear modeling of bearingless permanent magnet synchronous motors with least squares support vector machines. Control Theory and Applications. 2012. 29(4):524-528.
    • (2012) Control Theory and Applications , vol.29 , Issue.4 , pp. 524-528
    • Sun, X.D.1    Zhu, H.Q.2    Yang, Z.B.3
  • 6
    • 84890471066 scopus 로고    scopus 로고
    • Sensor fault diagnosis based on least squares support vector. 2011 ieee 5th international conference on robotics
    • L. Sh. Xu, T. Cai, F. Deng, Sensor Fault Diagnosis Based on Least Squares Support Vector. 2011 IEEE 5th International Conference on Robotics, Automation and Mechatronics (RAM), 2011: 275-279.
    • (2011) Automation and Mechatronics (RAM) , pp. 275-279
    • Sh. Xu, L.1    Cai, T.2    Deng, F.3
  • 7
    • 58249091399 scopus 로고    scopus 로고
    • Recursive reduced least squares support vector regression
    • Y. P. Zhao, Recursive reduced least squares support vector regression. Pattern Recognition, 2009(42): 837-842.
    • (2009) Pattern Recognition , Issue.42 , pp. 837-842
    • Zhao, Y.P.1
  • 8
    • 34247486003 scopus 로고    scopus 로고
    • Modeling method of least squares support vector regression based on vector base learning
    • A. J. Chen, Zh. H. Song, Modeling method of least squares support vector regression based on vector base learning. Control Theory & Applications, 2007. 24(1): 1-5.
    • (2007) Control Theory & Applications , vol.24 , Issue.1 , pp. 1-5
    • Chen, A.J.1    Song, Z.H.2
  • 9
    • 33750333148 scopus 로고    scopus 로고
    • Sparse support vector regression based on orthogonal forward selection for the generalised kernel model
    • X. X. Wang, Sparse support vector regression based on orthogonal forward selection for the generalised kernel model. Neurocomputing, 2006. 70: 462-474.
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  • 10
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    • Least Square regression Method Based on Sliding Time Window and Its Simulation
    • W. W. Yan, J. L. Chang. Least Square regression Method Based on Sliding Time Window and Its Simulation. Journal of Shanghai Jiao Tong University. 2004,38(4):524-526.
    • (2004) Journal of Shanghai Jiao Tong University , vol.38 , Issue.4 , pp. 524-526
    • Yan, W.W.1    Chang, J.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.