基于模糊C-均值聚类算法的柴油机磨损模式识别  

Pattern recognition method for wear mode of diesel engine based on the fuzzy c-mean clustering

作　　者：单志强[1] 

机构地区：[1]山东交通职业学院,潍坊261206

出　　处：《机械设计与制造》2008年第12期198-200,共3页Machinery Design & Manufacture

摘　　要：将模糊C-均值聚类算法应用到柴油机磨损模式评价体系中,通过聚类中心和归一化的标准向量建立了磨损模式的模糊分析模型。对实际采集的20个样本进行模糊聚类分析,并与贴近度算法所得结果进行比较,证明模糊C-均值聚类算法对柴油机磨损模式的识别是准确、有效的。Fuzzy C-mean clustering was applied to analyze wear mode of diesel engine,and the fuzzy analysis model was built by clustering center and standard vector.20 examples were given a detail analysis by fuzzy clustering,and compared with the results by closeness,the results prove that the approach is accurate and efficient to heighten recognition correctness.

关 键 词：模糊C-均值聚类 磨损模式 模糊聚类 贴近度 模式识别 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]