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.
出处
《水电与新能源》
2016年第2期11-15,共5页
Hydropower and New Energy
关键词
支持向量机
发电机组
轴心轨迹
不变矩
故障诊断
support vector machine
generator unit
shaft orbit
moment invariant
fault diagnosis