The methods in infrared thermal imaging diagnosis technology of power equipment

Infrared thermography, which has been widely used, is an important electrical equipment monitoring and fault diagnosis technology. It has two key steps about infrared thermal image processing and artificial intelligence diagnosis faults. In order to improve the accuracy of diagnosing electrical equi...

Full description

Saved in:
Bibliographic Details
Main Authors: Haoyang Cui, Yongpeng Xu, Jundong Zeng, Zhong Tang
Format: Conference Proceeding
Language:English
Subjects:
Classification algorithms
Computational modeling
fault diagnosis
Image edge detection
image processing
Image segmentation
Infrared thermography
Monitoring
neural network
Noise reduction
Reliability
Citations: Items that cite this one
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Infrared thermography, which has been widely used, is an important electrical equipment monitoring and fault diagnosis technology. It has two key steps about infrared thermal image processing and artificial intelligence diagnosis faults. In order to improve the accuracy of diagnosing electrical equipment thermal fault, the algorithms of denoising, segmentation and feature extraction in image processing, the BP and RBF network model of neural networks for intelligent diagnosis are discussed with the specific experimental conditions, the advantages and disadvantages of the various technologies and the improved methods are pointed out.
DOI:10.1109/ICEIEC.2013.6835498