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

作　　者：彭兵[1] 程建[1] 曹长冲[1] 尹永珍[1] 司汉松[1] 

机构地区：[1]中国长江电力股份有限公司技术研究中心,湖北宜昌443002

出　　处：《水电与新能源》2016年第2期11-15,共5页Hydropower and New Energy

摘　　要：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.

关 键 词：支持向量机 发电机组 轴心轨迹 不变矩 故障诊断 

分 类 号：TM312[电气工程—电机]