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Fault Detection of Aircraft System with Random Forest Algorithm and Similarity Measure
Joint Authors
Lee, Sanghyuk
Park, Wookje
Jung, Sikhang
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-26
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Research on fault detection algorithm was developed with the similarity measure and random forest algorithm.
The organized algorithm was applied to unmanned aircraft vehicle (UAV) that was readied by us.
Similarity measure was designed by the help of distance information, and its usefulness was also verified by proof.
Fault decision was carried out by calculation of weighted similarity measure.
Twelve available coefficients among healthy and faulty status data group were used to determine the decision.
Similarity measure weighting was done and obtained through random forest algorithm (RFA); RF provides data priority.
In order to get a fast response of decision, a limited number of coefficients was also considered.
Relation of detection rate and amount of feature data were analyzed and illustrated.
By repeated trial of similarity calculation, useful data amount was obtained.
American Psychological Association (APA)
Lee, Sanghyuk& Park, Wookje& Jung, Sikhang. 2014. Fault Detection of Aircraft System with Random Forest Algorithm and Similarity Measure. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1050799
Modern Language Association (MLA)
Lee, Sanghyuk…[et al.]. Fault Detection of Aircraft System with Random Forest Algorithm and Similarity Measure. The Scientific World Journal No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1050799
American Medical Association (AMA)
Lee, Sanghyuk& Park, Wookje& Jung, Sikhang. Fault Detection of Aircraft System with Random Forest Algorithm and Similarity Measure. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1050799
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050799