Fault detection in switching process of a substation using the SARIMA–SPC model
Abstract To detect substation faults for timely repair, this paper proposes a fault detection method that is based on the time series model and the statistical process control method to analyze the regulation and characteristics of the behavior in the switching process. As the first time, this paper...
Guardado en:
Autores principales: | Guo-Feng Fan, Xiao Wei, Ya-Ting Li, Wei-Chiang Hong |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2020
|
Materias: | |
Acceso en línea: | https://doaj.org/article/13fd4eeca3a342eda09a412961502ac0 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
A prediction method of fire frequency: Based on the optimization of SARIMA model.
por: Shuqi Ma, et al.
Publicado: (2021) -
The Application of Using Statistical Process Control (SPC) Tools : Research Issues and Literature Review
por: Sarah Isniah, et al.
Publicado: (2021) -
A Fault Diagnostic Scheme for Predictive Maintenance of AC/DC Converters in MV/LV Substations
por: Giovanni Betta, et al.
Publicado: (2021) -
Transposon sequencing analysis of Bradyrhizobium diazoefficiens 110spc4
por: Claudine Baraquet, et al.
Publicado: (2021) -
MODELING AND FORECASTING CUMULATIVE EVI ANOMALIES USING SARIMA FOR BIOPHYSICAL MONITORING: A CASE STUDY IN THE PHILIPPINES
por: A. J. L. Diccion, et al.
Publicado: (2021)