华东交通大学学报2017，Vol.34Issue(4)：104-109,6.
一种基于关联规则的变压器关键参量提取方法
Research on the Extraction Method of Key Parameters of Transformer Based on Association Rules
摘要
Abstract
The selection of key parameters among many factors can help improve the accuracy and efficiency of transformer state evaluations.According to the transformer status evaluation,this paper proposed a method for extracting key parameters of transformer based on association rules.Firstly,the basic parameter system of transformers was established based on analyzing the association between the parameters of the transformer status and the fault symptoms.Then,association rules were adopted to quantify the relationship between the fault symptoms and the parameters of transformer status.By computation,support degree and confidence degree of various parameter indexes were obtained to extract key parameters of the transformer status under minimum threshold.Then,the system of key parameters of the transformer status was established.Finally,an example based on statistical components' failure data of the substation was verified,which offered a new method for processing data gained from monitoring transformers.关键词
关联规则/关键参量/特征提取/状态评估Key words
association rules/key parameters/feature extraction/state evaluation分类
信息技术与安全科学引用本文复制引用
程宏波,裘德新,王勋,辛建波,张宇..一种基于关联规则的变压器关键参量提取方法[J].华东交通大学学报,2017,34(4):104-109,6.基金项目
江西省重点研发计划项目(20161BBH80033) （20161BBH80033）
江西省博士后科研择优资助项目(2016KY36) （2016KY36）
