Drone-assisted time-varying magnetic field analysis for fault diagnosis in grounding grids.
Grounding grids are essential for ensuring the safety of power substations, but their performance can degrade due to corrosion, fractures, or other faults. Traditional fault diagnosis methods are time-consuming, labor-intensive, and require physical access to substations, posing safety risks. This p...
Saved in:
| Main Authors: | Aamir Qamar, Zahoor Uddin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0325845 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Drone-assisted time-varying magnetic field analysis for fault diagnosis in grounding grids
by: Aamir Qamar, et al.
Published: (2025-01-01) -
Configuration Detection of Grounding Grid: Static Electric Field Based Nondestructive Technique
by: Aamir Qamar, et al.
Published: (2021-01-01) -
Spy in the sky: Application of thermal drones to assist with ground darting wildlife
by: Shannon P. Finnegan, et al.
Published: (2024-12-01) -
Fault Diagnosis of Gearboxes based on Time Varying Filter for Empirical Mode Decomposition
by: Lin Jinshan, et al.
Published: (2018-01-01) -
Electromagnetic Modeling of Superconducting Bulks in Applied Time-Varying Magnetic Field
by: Hocine Menana
Published: (2024-11-01)