Identification of Abnormal Data for Synchronous Monitoring of Transformer DC Bias Based on Multiple Criteria
Seriously abnormal data exist in the synchronous monitoring data of transformer DC bias, which causes serious data feature contamination and even affects the identification of transformer DC bias. For this reason, this paper aims to ensure the reliability and validity of synchronous monitoring data....
Main Authors: | Zhongqing Kou, Sheng Lin, Aimin Wang, Yuanda He, Long Chen |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-05-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/10/4959 |
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