Cavitation Condition Monitoring of Butterfly Valve Using Support Vector Machine |
황원우
(부경대학교 대학원 음향진동공학과)
고명환 (한국수자원공사 팔당권 관리단) 양보석 (부경대학교 기계공학부) |
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Fault Detection using Support Vector Machines and Artlificial Neural Networks, Augmented by Genetic Algorithms, Mechanical Systems and Signal Processing
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DOI ScienceOn |
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Trends and Controversies-support Vector Machines
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DOI ScienceOn |
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SMO Algorithm for Least Squares SVM Formulations
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Hydrodynamic Characteristics of a Butterfly Valve- Prediction of Pressure Loss Characteristics
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DOI ScienceOn |
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Engineering Application of the Self-organizing Feature Map
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DOI ScienceOn |
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Avoiding Cavitation in Control Valves
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자기조직화특징지도와 학습백터양자화를 이용한 회전기계의 이상진동진단 알고리듬
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과학기술학회마을 |