Detection of Corona Faults in Switchgear by Using 1D-CNN, LSTM, and 1D-CNN-LSTM Methods [PDF]
The damaging effects of corona faults have made them a major concern in metal-clad switchgear, requiring extreme caution during operation. Corona faults are also the primary cause of flashovers in medium-voltage metal-clad electrical equipment.
Yaseen Ahmed Mohammed Alsumaidaee +8 more
doaj +3 more sources
Fault Detection for Medium Voltage Switchgear Using a Deep Learning Hybrid 1D-CNN-LSTM Model
Medium voltage (MV) switchgear is a vital part of modern power systems, responsible for regulating the flow of electrical power and ensuring the safety of equipment and personnel.
Yaseen Ahmed Mohammed Alsumaidaee +9 more
doaj +2 more sources
Research of Partial Discharge Monitoring for Switchgear Cabinet Based on LSSVM [PDF]
Now, there are many influencing factors of partial discharge(PD) for switchgear cabinet, but very few methods used for switchgear cabinet monitoring. In this paper, Partial discharge of switchgear cabinet is identified based on Least Square SVM (LSSVM ...
Han Shai Gen +5 more
doaj +2 more sources
Detecting Arcing Faults in Switchgear by Using Deep Learning Techniques
Switchgear and control gear are susceptible to arc problems that arise from slowly developing defects such as partial discharge, arcing, and heating due to faulty connections. These issues can now be detected and monitored using modern technology.
Yaseen Ahmed Mohammed Alsumaidaee +7 more
doaj +2 more sources
Analysis of SF 6 decomposed products by fibre‐enhanced Raman spectroscopy for gas‐insulated switchgear diagnosis [PDF]
Sulphur hexafluoride (SF6) decomposed products analysis is highly critical in the early‐stage fault diagnosis of gas‐insulated switchgear (GIS). Spectrum technology outperforms traditional methods on non‐invasiveness, no sample preparation, and no ...
Jianxin Wang +6 more
openalex +2 more sources
Partial Discharge and Internet of Things: A Switchgear Cell Maintenance Application Using Microclimate Sensors [PDF]
This paper proposes a solution for the development of microclimate monitoring for Low Voltage/High Voltage switchgear using the PRTG Internet of Things (IoT) platform. This IoT-based real time monitoring system can enable predictive maintenance to reduce
Radu Fechet +2 more
doaj +2 more sources
Improved seismic risk evaluation for high‐voltage switchgear equipment: A copula‐based framework considering joint failure modes [PDF]
Traditional seismic evaluations for high‐voltage switchgear equipment, the critical power facilities, consider only structural failure mode and may underestimate the actual seismic risk.
Jiayi Wen, Xiaoxuan Li, Yuxiang Zhu
openalex +2 more sources
Switchgear Digitalization-Research Path, Status, and Future Work. [PDF]
To keep pace with global energy efficiency trends and, in particular, emission reduction targets in the maritime sector, both onshore and maritime power distribution systems need to be adapted to the relevant new technologies and concepts.
Kaštelan N +3 more
europepmc +2 more sources
Pattern Recognition of Partial Discharge Faults in Switchgear Using a Back Propagation Neural Network Optimized by an Improved Mantis Search Algorithm [PDF]
The dependable functioning of switchgear is essential to maintain the stability of power supply systems. Partial discharge (PD) is a critical phenomenon affecting the insulation of switchgear, potentially leading to equipment failure and accidents.
Zhangjun Fei, Yiying Li, Shiyou Yang
doaj +2 more sources
The basic requirements for the design of a switchgear for main 35–220 kV step-down substations are reliability and efficiency. Switchgear circuits are chosen depending on the number of supply and transit lines and transformers, the substation’s place in ...
Aleksandra V. Varganova +5 more
doaj +2 more sources

