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文章摘要
光纤检测变压器绕组变形的特征提取与聚类分析
Feature Extraction and Cluster Analysis of Transformer Winding Deformationby Optical Fiber Detection
Received:May 23, 2018
Revised:May 23, 2018
DOI：
中文关键词
:
BOTDR
光纤检测
小波包变换
聚类分析
英文关键词
:
BOTDR
fiber detection
wavelet packet transform
clustering analysis
基金项目
:
国家电网总部科技项目 (5204BB1600CQ)，中央高校基本科研业务费专项资金资助（2016XS93、2017MS102）
Author Name
Affiliation
E-mail
LiuYunpeng
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Baoding
Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense North China Electric Power University Baoding
liuyunpeng@ncepu.edu.cn
TianYuan
*
Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense North China Electric Power University Baoding
119913916@qq.com
BuYanan
Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense North China Electric Power University Baoding
buyn94@sina.cn
HePeng
Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense North China Electric Power University Baoding
843847273@qq.com
FanXiaozhou
Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense North China Electric Power University Baoding
1149989773@qq.com
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中文摘要
:
针对传统变压器绕组变形检测的缺陷,提出了基于分布式光纤传感的变压器绕组变形检测方法。引入小波包变换对应变信号进行特征提取,探索几种典型变形种类的聚类分离。首先模拟变压器运行过程中绕组可能出现的变形种类,利用Brillouin光时域反射计(BOTDR)采集布里渊频移,对应变信号进行小波包变换,提取能够充分反映应变信号特征的标准差、能量和Shannon熵,最后利用模糊C均值算法对提取的特征量分别进行聚类分析。结果表明,相比于以标准差作为特征量,以能量和Shannon熵作为特征量的聚类结果明显更为合理,实现了绕组变形带电监测与分类处理。
英文摘要
:
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