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Volumn , Issue , 2009, Pages

Long-term vibration trend prediction of rotor system state based on support vector regression and Discrete Wavelet Decomposition

Author keywords

Discrete wavelet decomposition; Prediction; Support vector regression

Indexed keywords

DISCRETE WAVELET DECOMPOSITION; PREDICTION; PREDICTION MODEL; ROTOR SYSTEMS; ROTOR VIBRATIONS; SUPPORT VECTOR REGRESSION; SUPPORT VECTOR REGRESSIONS; TREND FORECASTING; TREND PREDICTION; VIBRATION DATA;

EID: 70349556271     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IWISA.2009.5072946     Document Type: Conference Paper
Times cited : (3)

References (11)
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    • An Intelligent System for Dynamical System State Forecasting
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    • Wilson Wang1
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    • Mallat S, Zhong S. Characterization of signals from multiscale edges. IEEE. Trans. On Pattern Analysis and Machine Intelligence, 1992, 14 (7) : 7102732.
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  • 11
    • 2942586802 scopus 로고    scopus 로고
    • Trend assessment in a long memory dependence model using the discrete wavelet transform
    • P. Craigmile, P. Guttorp, D. Percival, Trend assessment in a long memory dependence model using the discrete wavelet transform, Environmetrics 2004; 15: 313-335.
    • (2004) Environmetrics , vol.15 , pp. 313-335
    • Craigmile, P.1    Guttorp, P.2    Percival, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.