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SVD-BASED AUTOMATIC IDENTIFICATION OF AXIS TRACK OF HYDROPOWER GENERATING SETS
Author(s): 
Pages: 22-24
Year: Issue:  6
Journal: HYDROPOWER AUTOMATION AND DAM MONITORING

Keyword:  状态检修水轮发电机轴心轨迹奇异值分解置信度;
Abstract: 在水电机组状态检修系统中,轴心轨迹是诊断机组状态的一个重要特征.文中采用矩阵的奇异值分解(SVD)方法,利用奇异特征值作为特征向量,采取最邻近法对水轮发电机组轴心轨迹的自动识别进行了研究.介绍了方法的原理,并对几类典型的轴心轨迹的自动识别进行了仿真实验,结果表明该方法是有效、简单和可行的.
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