Deep Learning Image-Based Defect Detection in High Voltage Electrical Equipment
The increase in the internal temperature of high voltage electrical instruments is due to a variety of factors, particularly, contact problems; environmental factors; unbalanced loads; and cracks in the high voltage current transformers, voltage transformers, insulators, or terminal junctions. This...
Main Authors: | Irfan Ullah, Rehan Ullah Khan, Fan Yang, Lunchakorn Wuttisittikulkij |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-01-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/13/2/392 |
Similar Items
-
Predictive Maintenance of Power Substation Equipment by Infrared Thermography Using a Machine-Learning Approach
by: Irfan Ullah, et al.
Published: (2017-12-01) -
NONDESTRUCTIVE INVESTIGATION METHODS FOR MECHANICAL EQUIPMENT: THERMAL & ULTRASOUND
by: Marius POPOVICI
Published: (2013-05-01) -
Thermal Comfort-Based Personalized Models with Non-Intrusive Sensing Technique in Office Buildings
by: Siliang Lu, et al.
Published: (2019-04-01) -
Infrared Thermography for the Detection and Characterization of Photovoltaic Defects: Comparison Between Illumination and Dark Conditions
by: Sara Gallardo-Saavedra, et al.
Published: (2020-08-01) -
Application of pulsed flash thermography method for specific defect estimation in aluminum
by: Tomić Ljubiša D., et al.
Published: (2015-01-01)