电气技术Issue(11):91-95,5.
变压器油中气体监测数据随机误差的自适应检验方法
Adaptive Test Method for Random Error of Dissolved Gas Monitoring Data in Transformer Oil
摘要
Abstract
Study on the adaptive test method for random error of dissolved gas monitoring data in transformer oil, to change the passive situation of the lack of automatic diagnosis of random error means,reduces the probability of false alarm and missing alarm. First, the data classification, sorting, and calculate the average value of the data, the standard deviation. Secondly, the deviation value of the minimum data and the maximum data in the data sequence is solved. Finally, the iterative test monitoring data based on Grubbs criterion, until the exclusion of all outliers. The actual application results show that this method improves the error correction capability of the system, but also enhance the effectiveness of monitoring and early warning.关键词
变压器/油中溶解气体/格拉布斯准则/正态分布/检验/随机误差Key words
transformer/dissolved gases/Grubbs criterion/Gaussian distribution/test/random error引用本文复制引用
邬蓉蓉,张炜,樊宇璐,邓雨荣,张玉波..变压器油中气体监测数据随机误差的自适应检验方法[J].电气技术,2016,(11):91-95,5.基金项目
南方电网公司科技项目 ()