Fault Diagnosis of Power Transmission Lines Using a UAV-Mounted Smart Inspection System

Fault diagnosis of power transmission systems (PTSs) is crucial for ensuring the reliability of power grids because most grids are exposed to harsh environments. For integrity diagnosis of PTSs, this paper proposes a nondestructive patrol inspection method that employs a smart inspection system (SIS...

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Bibliographic Details
Published in:IEEE access 2020-01, Vol.8, p.1-1
Main Authors: Kim, San, Kim, Donggeun, Jeong, Siheon, Ham, Ji-Wan, Lee, Jae-Kyung, Oh, Ki-Yong
Format: Article
Language:English
Subjects:
Automatic pilots
Cameras
Consistency
Coordinates
Damage detection
Data analysis
Discharge
Electric power grids
Fault diagnosis
Field tests
Hardware
Image processing
Inspection
Nondestructive testing
Outliers (statistics)
Partial discharges
Power lines
Sensors
Transmission lines
ultraviolet camera
unmanned aerial vehicle
Unmanned aerial vehicles
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Summary:Fault diagnosis of power transmission systems (PTSs) is crucial for ensuring the reliability of power grids because most grids are exposed to harsh environments. For integrity diagnosis of PTSs, this paper proposes a nondestructive patrol inspection method that employs a smart inspection system (SIS) mounted on an unmanned aerial vehicle (UAV). This system overcomes the geographical limitations faced in accessing PTSs. The SIS includes an ultraviolet camera system that can detect partial discharges on the damaged surfaces of PTSs. The SIS is characterized by three main features. First, it employs an automatic line-tracking method based on image-processing methods. Second, defect locations are automatically estimated on the basis of the consistency of partial discharges, where consistency indicates the steadiness of corona discharges in one-dimensional global coordinates. Third, an alarm is triggered on the basis of the combination of the result from a statistical outlier detection method and the estimated partial discharge locations on a two-dimensional partial discharge map. Finally, a UAV equipped with the proposed system is field-tested for PTS inspection in the autopilot mode. Field tests conducted on ultrahigh-voltage PTSs confirmed the damage detection capabilities of the proposed method and demonstrated its effectiveness and convenience.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.3016213