Thermal Defect Detection for Substation Equipment Based on Infrared Image Using Convolutional Neural Network

Thermal Defect Detection for Substation Equipment Based on Infrared Image Using Convolutional Neural Network

Thermal defects of substation equipment have a great impact on the stability of power systems. Temperature is crucial for thermal defect detection in infrared images. The traditional detection methods, which have low efficiency and poor accuracy, record the temperature of infrared images manually. I...

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Bibliographic Details
Main Authors: Kaixuan Wang, Jiaqiao Zhang, Hongjun Ni, Fuji Ren
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Electronics
Subjects:
infrared image
substation equipment
thermal defect detection
adaptive binarization
character recognition
convolutional neural network
Online Access:https://www.mdpi.com/2079-9292/10/16/1986

Internet

https://www.mdpi.com/2079-9292/10/16/1986

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