Drone-based fault recognition in power systems: a systematic review of intelligent methods
Abstract Electrical power systems are susceptible to several damaging effects, potentially leading to faults reaching safety limits and posing critical operational risks. Traditionally, manual inspection has been employed to detect such faults; however, this method is inefficient—being both time-con...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-05-01
|
| Series: | Discover Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-025-06774-z |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|