电工技术学报2018，Vol.33Issue(9)：2105-2114,10.DOI:10.19595/j.cnki.1000-6753.tces.170197
基于频域介电响应特征指纹的油纸绝缘受潮及老化状态区间识别
The Range Recognition of Moisture and Aging Status of Oil-Paper Insulation Based on Frequency Domain Dielectric Response Characteristic Fingerprint
摘要
Abstract
Frequency domain spectroscopy (FDS) technology has received widespread attention and become the research hot spot in recent years as a kind of nondestructive test and insulation diagnosis method, especially the assessment of the moisture status of transformer solid insulation has made significant progress. As the two important factors influencing the transformer insulation performance, moisture and aging status present similar effect on the frequency domain dielectric response of oil-paper insulation. In the present study, it is unable to separate the moisture and aging status or effective assess the aging status of transformer with FDS method. The oil-paper insulation state was divided to several state patterns according to different moisture and aging status and a fuzzy pattern recognition method was proposed in this paper, the inputs of the classifier were the dielectric response characteristic fingerprint, and the standard state pattern corresponding to the pattern recognition results was regarded as the assessment moisture and aging status of oil-paper insulation. Thirty standard state patterns were divided according to the degree polarization and moisture content of laboratory oil-paper insulation samples in this paper, the serial integrals of dielectric loss spectroscopy in three frequency bands were selected as the dielectric response characteristic fingerprints and the state pattern was classified based on close-degree. The analysis of laboratory oilpaper samples and field transformer FDS results preliminarily proves the validity of the proposed method in this paper.关键词
频域介电谱/油纸绝缘/受潮和老化状态/模糊模式识别Key words
Frequency domain spectroscopy/oil-paper insulation/moisture and aging status/fuzzy pattern recognition分类
信息技术与安全科学引用本文复制引用
杨丽君,彭攀,高竣,刘骁..基于频域介电响应特征指纹的油纸绝缘受潮及老化状态区间识别[J].电工技术学报,2018,33(9):2105-2114,10.基金项目
国家创新研究群体基金(51321063)和国家电网公司科技项目(SGTJ0000KXJS1400075)资助. （51321063）
