文章基本信息

标题：Method of Analyzing Transformer DC Magnetic Bias Based on Big Data Cleaning and Dimensionality Reduction
本地全文：下载
作者：Pei Yuan ; Xiaowen Wu ; Tao Wan 等
期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：310
期号：3
页码：1-8
DOI：10.1088/1755-1315/310/3/032026
出版社：IOP Publishing
摘要：Transformer DC magnetic bias is difficult to accurately analyze and predict because it is caused by complex factors and has a wide influence. This paper combines big data with DC bias magnetic analysis method, making a breakthrough in the DC bias prediction model that only considers a single factor. From the perspective of multi-system coupling, this paper analyzes the modeling of DC magnetic bias based on multi-dimensional big data, and extracts the key influencing factors of transformer DC bias through multi-system big data cleaning and dimensionality reduction technology, thus providing an effective basis for "one-button sequence control" bias magnetic treatment.