This paper presents several methods for diagnosing partial discharge (PD) in a Gas insulated switchgear (GIS) chamber using SF6 gas decomposed component analysis. Nine types of purposefully created defects within the chamber were simulated, resulting in PD and hence decomposed byproducts. In contrast to previous studies that only looked at specific aspects of PD analysis, this study employs decomposition component analysis to classify the defect type and assess the severity of SF6 gas decomposition. A series of experiments involving conducting and nonconducting defects were carried out.

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Subscribe now or login.

[1] Ammar Mahdi, "Sulfur Hexafluoride decomposition", IEEE Dataport, 2022. [Online]. Available: Accessed: May. 29, 2024.
doi = {10.21227/91zf-3r85},
url = {},
author = {Ammar Mahdi },
publisher = {IEEE Dataport},
title = {Sulfur Hexafluoride decomposition},
year = {2022} }
T1 - Sulfur Hexafluoride decomposition
AU - Ammar Mahdi
PY - 2022
PB - IEEE Dataport
UR - 10.21227/91zf-3r85
ER -
Ammar Mahdi. (2022). Sulfur Hexafluoride decomposition. IEEE Dataport.
Ammar Mahdi, 2022. Sulfur Hexafluoride decomposition. Available at:
Ammar Mahdi. (2022). "Sulfur Hexafluoride decomposition." Web.
1. Ammar Mahdi. Sulfur Hexafluoride decomposition [Internet]. IEEE Dataport; 2022. Available from :
Ammar Mahdi. "Sulfur Hexafluoride decomposition." doi: 10.21227/91zf-3r85