支持向量机在水力发电机组轴心轨迹自动识别中的应用研究

Application of the Support Vector Machine in Automatic Recognition of Shaft Orbits for Hydroelectric Generator Units

轴心轨迹是水力发电机组运行状态的重要特征量。支持向量机是一种新型的模式识别工具,其泛化能力强。采用支持向量机和改进的不变矩对水力发电机组几种典型故障状态的轴心轨迹进行了自动识别,结果表明该方法有效、简单、可行。

Shaft orbit is an important characteristic parameter of the operation status of hydroelectric generator units. While the support vector machine is a powerful pattern recognition tool which of strong generalization capability. Thus, the support vector machine and the improved moment invariant techniques are adopted in the automatic recognition of several typical shaft orbits for hydroelectric generator units under fault conditions. It shows that the proposed method is effective, simple and feasible.