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作 者:马润泽[1] 王龙响 余佳文[1] 王慧芳[1] 邱剑[1]
出 处:《机电工程》2015年第10期1375-1379,共5页Journal of Mechanical & Electrical Engineering
基 金:国家电网公司科技资助项目(GY71-14-075)
摘 要:针对当前断路器进行状态评价基于其运行信息,但未涉及能反映断路器部件可靠性的断路器历史缺陷情况的特点,以及断路器中文缺陷文本的处理分析问题,提出了融合运行信息与历史缺陷信息的断路器状态综合评价模型,即在现有评价导则基础上添加了专门针对历史缺陷文本的评价规则,并提出了基于KNN算法的缺陷文本分类方法,方法先通过分词、词频统计、去停用词和文本向量化等适合短文本的处理步骤进行中文文本预处理,然后采用KNN分类算法对缺陷文本进行归类计算。通过算例,对缺陷文本分类方法以及考虑历史缺陷信息后的断路器状态综合评价模型进行了验证。研究结果表明,缺陷文本分类方法是可行的,且加入历史缺陷信息后,断路器的状态评价结果得到合理性的提升。Aiming at the feature that the condition evaluation of the circuit breaker( CB) is based on the operation information currently,while it does not involve CB's historical defects which reflect the reliability of CB's components,and the problem of the treatment and analysis of CBs' Chinese defect texts,a comprehensive evaluation model of the CBs' condition integrating the CBs' operation information and historical defect information was proposed,which adds the evaluation rules for historical defect texts to the existing evaluation guidelines,and also a classification method of the defect texts was proposed based on KNN algorithm. The steps of the method is firstly the Chinese text preprocessing was done by doing word segmentation,word frequency statistics,deleting stop word and text vectorization,which were suitable for short texts,then the KNN algorithm was used to classify the defect texts. An example was used to verify the defect text classification method and the comprehensive evaluation model considering the information in historical defect texts. The results indicate that the classification method is feasible and the rationality of the CB's evaluation results is improved.
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