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....

Descripción completa

Detalles Bibliográficos
Autores principales: Kou, Zhongqing, Lin, Sheng, Wang, Aimin, He, Yuanda, Chen, Long
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224135/
https://www.ncbi.nlm.nih.gov/pubmed/37430873
http://dx.doi.org/10.3390/s23104959

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224135/
https://www.ncbi.nlm.nih.gov/pubmed/37430873
http://dx.doi.org/10.3390/s23104959

Ejemplares similares