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.
出处
《机械设计与制造》
北大核心
2008年第12期198-200,共3页
Machinery Design & Manufacture
