首页> 中文期刊> 《原子能科学技术》 >灰色聚类理论在屏蔽泵状态评估中的应用

灰色聚类理论在屏蔽泵状态评估中的应用

         

摘要

针对屏蔽泵样本少、可测性和维修可达性差的特点,将灰色聚类理论应用于屏蔽泵的状态评估.该方法兼顾小样本和样本区间模糊性,根据各聚类指标的状态划分,利用白化函数将各聚类指标白化、量化,并根据各聚类指标的重要度给出其权重.用得到的各聚类指标的量化值和权重进行聚类,给出屏蔽泵所属的状态.结果表明,该方法客观合理,适用于如屏蔽泵等样本少的核动力设备的状态评估.%The theory of gray clustering was applied in condition assessment of canned motor pump in order to solve the problem for lack samples, low mensurability and bad reachable maintainability. Considering the small number of samples and fuzzy interval, each clustering index was whitened and quantified according to the partition of condition of each index and the weight was given in the light of the significance of each clustering index. The condition of canned motor pump was distinguished by applying the acquired quantified value of clustering index and weight. The results indicate that this method is objective, rational and fitting for the condition assessment of nuclear power equipment for lack samples such as canned motor pump.

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