An Arc Fault Detection Method Based on Multidictionary Learning
Joint Authors
Qu, Na
Liu, Jinhai
Wang, Jianhui
Wang, Zhi
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-03
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper uses the dictionary learning of sparse representation algorithm to detect the arc fault.
Six kinds of characteristics, that is, the normalized amplitudes of 0Hz, 50Hz, 100Hz, 150Hz, 200Hz, and 250Hz in the current amplitude spectrum, are used as inputs.
The output is normal work or arc fault.
Increasing the number of training samples can improve the accuracy of the tests.
But if the training samples are too many, it is difficult to be expressed by single dictionary.
This paper designs a multidictionary learning method to solve the problem.
Firstly, n training samples are selected to form s overcomplete dictionaries.
Then a dictionary library consisting of s dictionaries is constructed.
Secondly, t (t≤s) dictionaries are randomly selected from the dictionary library to judge the test results, respectively.
Finally, the final detest result is obtained through the maximum number of votes, that is, the modality with the most votes is the detest result.
Simulation results show that the accuracy of detection can be improved.
American Psychological Association (APA)
Qu, Na& Wang, Jianhui& Liu, Jinhai& Wang, Zhi. 2018. An Arc Fault Detection Method Based on Multidictionary Learning. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1205486
Modern Language Association (MLA)
Qu, Na…[et al.]. An Arc Fault Detection Method Based on Multidictionary Learning. Mathematical Problems in Engineering No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1205486
American Medical Association (AMA)
Qu, Na& Wang, Jianhui& Liu, Jinhai& Wang, Zhi. An Arc Fault Detection Method Based on Multidictionary Learning. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1205486
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1205486