电力系统及其自动化学报2018，Vol.30Issue(2)：138-143,150,7.DOI:10.3969/j.issn.1003-8930.2018.02.023
偏最小二乘回归法在介损在线监测误差分析中的应用
Application of Partial Least-squares Regression to the Error Analysis of On-line Monitoring of Dielectric Loss
陈敏维 1邱文锋 2张孔林 3林一泓1
作者信息
- 1. 国网福建省电力有限公司电力科学研究院,福州350007
- 2. 福建省高供电可靠性配电技术企业重点实验室,福州350007
- 3. 福建宁德核电有限公司计划处,宁德355200
- 折叠
摘要
Abstract
On-line monitoring of dielectric loss is an important means for evaluating the capacitive equipment'insula?tion condition.Because the loss value is only a few per thousand relatively under normal conditions,it is often vulnera?ble to fluctuations caused by various factors,resulting in inaccurate measurement.To solve this problem,the error fac?tors in the online monitoring of dielectric loss are analyzd in this paper,and the correlation analysis of error factors is performed based on partial least-squares regression.Moreover,the correlation coefficients between error factors and di?electric loss are calculated.Through the correlation graph between error factors and dielectric loss,it is found that the factors affecting the online monitoring can be arranged in a descending order,i.e.,voltage,humidity and temperature. These results are consistent with those by using gray correlation theory,demonstrating its practicality and effectiveness.关键词
在线监测/介质损耗因素/偏最小二乘回归/误差分析Key words
on-line monitoring/dielectric loss factor/partial least-squares(PLS)regression/error analysis分类
信息技术与安全科学引用本文复制引用
陈敏维,邱文锋,张孔林,林一泓..偏最小二乘回归法在介损在线监测误差分析中的应用[J].电力系统及其自动化学报,2018,30(2):138-143,150,7.
