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《Journal of Engineering for Thermal Energy and Power》 2008-02
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Automatic Identification of Plant Axial Trajectory Shapes Based on Improved Invariant Linear-moment Characteristics

WAN Shu-ting (Education Ministry Key Laboratory on Power Plant Equipment Condition Monitoring and Control,College of Mechanical Engineering,North China Electric Power University,Baoding,China,Post Code:071003),WU Bing-sheng (College of Electro-mechanical Engineering,Hebei Engineering University,Handan,China,Post Code:056038)  
Presented was an improved invariant linear-moment algorithm with a detailed mathematical expression and a demonstration process featuring an invariance that satisfies plant movement,rotation,elongation and compression.Furthermore,a novel method for the automatic identification of axial trajectory shapes based on improved invariant linear-moment characteristics was put forward,enabling two collected mutually vertical vibration displacement signals to be fitted through a noise treatment into axial trajectories.Improved invariant linear-moments have been adopted to replace a traditional HU's invariable surface moment to calculate the invariant linear-moment eigenvector.With invariant linear-moment eigenvectors of various axial trajectories produced in the simulation process serving as reference modes,the authors have employed correlation to identify the axial trajectory actually tested,and successfully identified the axial trajectory shapes of MJF-30-6 model turbo-generator unit under three different operating conditions.
【Fund】: 国家自然科学基金资助项目(50677017);; 2006年华北电力大学博士学位教师科研基金资助
【CateGory Index】: TM311
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