摘要
在水电机组状态监测与诊断系统中 ,轴心轨迹是诊断机组状态的一个重要特征。文中运用灰色系统理论的关联度分析方法 ,利用不变性矩作为特征向量 ,对水轮发电机组轴心轨迹的自动识别进行了探讨。详细介绍了方法的原理和实际应用步骤 ,对 3类典型的轴心轨迹的自动识别进行了仿真试验 ,结果表明 ,该法是有效。
Axis orbit is an important characteristic to be used to diagnose the unit condition in the condition monitoring and diagnosis system of hydroelectric generating set. A new method, which uses grey theory and eigenmatrix combined with moment invariants to identify the orbit of shaft centerline of hydroelectric generating set is discussed in this paper. The principle and its application procedure of the method are introduced in detail. Simulation results of automatic identification for three typical axis orbits are provided. It is proved that the method is effective and practicable.
出处
《电力系统自动化》
EI
CSCD
北大核心
2001年第9期19-22,共4页
Automation of Electric Power Systems
基金
教育部高校骨干教师资助计划项目
关键词
水轮发电机组
轴心轨迹
自动识别
灰色理论
不变性矩
Computer simulation
Condition monitoring
Eigenvalues and eigenfunctions
Matrix algebra
Shafts (machine components)
