Predictive Maintenance of Power Substation Equipment by Infrared Thermography Using a Machine-Learning Approach

Predictive Maintenance of Power Substation Equipment by Infrared Thermography Using a Machine-Learning Approach

A variety of reasons, specifically contact issues, irregular loads, cracks in insulation, defective relays, terminal junctions and other similar issues, increase the internal temperature of electrical instruments. This results in unexpected disturbances and potential damage to power equipment. There...

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Bibliographic Details
Main Authors: Irfan Ullah, Fan Yang, Rehanullah Khan, Ling Liu, Haisheng Yang, Bing Gao, Kai Sun
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Energies
Subjects:
ANN
substation maintenance
infrared thermography
defect identification
thermal images
Online Access:https://www.mdpi.com/1996-1073/10/12/1987

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https://www.mdpi.com/1996-1073/10/12/1987

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