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...
Enregistré dans:
Auteurs principaux: | Guo-Feng Fan, Xiao Wei, Ya-Ting Li, Wei-Chiang Hong |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2020
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/13fd4eeca3a342eda09a412961502ac0 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
A prediction method of fire frequency: Based on the optimization of SARIMA model.
par: Shuqi Ma, et autres
Publié: (2021) -
The Application of Using Statistical Process Control (SPC) Tools : Research Issues and Literature Review
par: Sarah Isniah, et autres
Publié: (2021) -
A Fault Diagnostic Scheme for Predictive Maintenance of AC/DC Converters in MV/LV Substations
par: Giovanni Betta, et autres
Publié: (2021) -
Transposon sequencing analysis of Bradyrhizobium diazoefficiens 110spc4
par: Claudine Baraquet, et autres
Publié: (2021) -
MODELING AND FORECASTING CUMULATIVE EVI ANOMALIES USING SARIMA FOR BIOPHYSICAL MONITORING: A CASE STUDY IN THE PHILIPPINES
par: A. J. L. Diccion, et autres
Publié: (2021)