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Superresolution Reconstruction of Electrical Equipment Incipient Fault
Joint Authors
Guo, Li
Wang, Manran
Chen, Jinhao
Lv, Bingqi
Yang, Yang
Source
Journal of Control Science and Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-08-07
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
With the rapid development of industry and technology, the electrical power system becomes more complex and the electrical equipment becomes more diverse.
Defective equipment is often the cause of industrial accidents and electrical injuries, which can result in serious injuries, such as electrocution, burns, and electrical shocks.
In some cases, electrical equipment fault may result in death.
However, in some special situation, some fault is very small even invisible, such as equipment aging, holes, and cracks, so the detection of these incipient faults is difficult or even impossible.
These potential incipient faults become the biggest hidden danger in the electrical equipment and electricity power system.
For these reasons, this paper proposes a superresolution reconstruction method for electrical equipment incipient fault to ensure complete detection in electrical equipment, which aims to guarantee the security of electrical power system operation and industry production.
Experimental results show that this method can get a state-of-the-art reconstruction effect of incipient fault, so as to provide reliable fault detection of electrical power system.
American Psychological Association (APA)
Wang, Manran& Guo, Li& Chen, Jinhao& Lv, Bingqi& Yang, Yang. 2018. Superresolution Reconstruction of Electrical Equipment Incipient Fault. Journal of Control Science and Engineering،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1182869
Modern Language Association (MLA)
Wang, Manran…[et al.]. Superresolution Reconstruction of Electrical Equipment Incipient Fault. Journal of Control Science and Engineering No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1182869
American Medical Association (AMA)
Wang, Manran& Guo, Li& Chen, Jinhao& Lv, Bingqi& Yang, Yang. Superresolution Reconstruction of Electrical Equipment Incipient Fault. Journal of Control Science and Engineering. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1182869
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1182869