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http://dx.doi.org/10.9708/jksci.2019.24.11.219

Prioritizing Maintenance of Naval Command and Control System Using Feature Selection  

Choi, Junhyeong (Dept. of Computer Science and Engineering, Korea National Defense University)
Kang, Dongsu (Dept. of Computer Science and Engineering, Korea National Defense University)
Publication Information
Journal of the Korea Society of Computer and Information / v.24, no.11, 2019 , pp. 219-228 More about this Journal
Abstract
Naval command and control system are very important for operation and their failures can be fatal for warfare. To prepare for these failures, we use feature selection method which is one of the data mining techniques. First, we analyzes failure data set of Navy from 2016 to 2018. And then We derive attributes that are associated with failure and to predict failure using feature selection method. We propose a method for prioritizing maintenance using the degree of association of attributes. This improves the efficiency and economics of command and control system maintenance.
Keywords
Feature Selection; System Failure; Maintenance Priority; KNCCS; KNTDS;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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