基于模糊C均值聚类算法的系统健康状态研究

Research on system health state based on fuzzy c-means clustering algorithm

给水泵系统是电厂系统的重要辅助设备,对给水泵进行有效的状态评估有助于保障电厂整体设备安全可靠运行。采用模糊C均值聚类算法,对给水泵系统历史健康数据进行聚类建模,得到设备状态得分模型,系统实时运行时可自动预测设备状态得分。基于电厂真实数据进行算例分析试验,结果表明,预测得分结果符合实际情况,可有效表征设备的健康状态。

The feed water pump system is an important auxiliary equipment of the power plant system,so an effective evaluation of its state is helpful to the safe and reliable operation of the power plant.Based on the historical health data of the feed pump system,the fuzzy c-means clustering algorithm is adopted to build the state score model which can automatically predict the equipment state score in real time.The experiment is carried out on the real data of the power plant.The results show that the predicted scores are in line with the actual situation and can effectively characterize the equipment state.