DATA QUALITY MONITORING: INDEPENDENT COMPONENT ANALYSIS FOR TIME SERIES

被引：0
|
作者：
Faier, Jose Marcio [1 ]
de Seixas, Jose Manoel [1 ]
机构：
[1] Univ Fed Rio de Janeiro, COPPE Poli, Signal Proc Lab, Rio De Janeiro, RJ, Brazil
来源：
18TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO-2010) | 2010年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In the information era, databases in companies and research centres are getting larger, which makes the quality of data a key issue. In this paper, independent component analysis is used for data quality monitoring of electric load time series. The independent component analysis was applied in the preprocessing phase, which increased the data quality system performance. The extraction of signal sources revealed relevant information, and narrowed the corridor width used for data validation.
引用
收藏
页码：1761 / 1765
页数：5
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