Validity Evaluation Method Based on Data Driving for On-Line Monitoring Data of Transformer under DC-Bias
The DC-bias monitoring device of a transformer is easily affected by external noise interference, equipment aging, and communication failure, which makes it difficult to guarantee the validity of monitoring data and causes great problems for future data analysis. For this reason, this paper proposes...
Main Authors: | Yuanda He, Qi Zhou, Sheng Lin, Liping Zhao |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-08-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/15/4321 |
Similar Items
-
Identification of Abnormal Data for Synchronous Monitoring of Transformer DC Bias Based on Multiple Criteria
by: Zhongqing Kou, et al.
Published: (2023-05-01) -
Acoustic Multi-Parameter Early Warning Method for Transformer DC Bias State
by: Yuhao Zhou, et al.
Published: (2022-04-01) -
Off-Line Data Validation for Water Network Modeling Studies
by: Marcos Quiñones-Grueiro, et al.
Published: (2019-11-01) -
Overview of Research Status of DC Bias and Its Suppression in Power Transformers
by: Youliang Sun, et al.
Published: (2022-11-01) -
Design and Implementation of Data-Based Validation and Evaluation System for Combat System Engineering
by: Hee-Mun Park, et al.
Published: (2023-01-01)