An Electrical Insulator Defects Detection Method Combined Human Receptive Field Model
Joint Authors
Guo, Li
Wang, Manran
Chen, Jinhao
Liao, Yu
Yao, Hongying
Source
Journal of Control Science and Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-03
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
Nondestructive inspection of electrical insulators subjected to the high electrical stress and environmental damage is fundamental for reliable operation of a transmission lines.
The breakage and defect of the insulator have great influence on the safe of transmission lines, and insulator defect detection with difference types is a complex work.
This paper proposed an insulator defect detection method inspired by human receptive field model, which meets the requirements for detecting defect insulator in a simple background.
In this method, the defect detection combined human receptive field model of human visual system is constructed and applied on the different insulators, so as to achieve accurate detection of the insulator defected parts.
Experimental results show that the method can accurately and robustly detect the defect (such as cracks and damage) of electrical insulator in case of noise affect.
American Psychological Association (APA)
Guo, Li& Liao, Yu& Yao, Hongying& Chen, Jinhao& Wang, Manran. 2018. An Electrical Insulator Defects Detection Method Combined Human Receptive Field Model. Journal of Control Science and Engineering،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1182914
Modern Language Association (MLA)
Guo, Li…[et al.]. An Electrical Insulator Defects Detection Method Combined Human Receptive Field Model. Journal of Control Science and Engineering No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1182914
American Medical Association (AMA)
Guo, Li& Liao, Yu& Yao, Hongying& Chen, Jinhao& Wang, Manran. An Electrical Insulator Defects Detection Method Combined Human Receptive Field Model. Journal of Control Science and Engineering. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1182914
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1182914