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데이터 마이닝을 이용한 공학시스템의 고장 코드 발견Detection of Failure Code for an Engineering System Using the Data Mining

Other Titles
Detection of Failure Code for an Engineering System Using the Data Mining
Authors
전종선박창순안선응
Issue Date
Oct-2013
Publisher
한국SCM학회
Keywords
Preventative maintenance; Engineering system; Data mining; Failure code.
Citation
한국SCM학회지, v.13, no.2, pp 151 - 158
Pages
8
Indexed
KCI
Journal Title
한국SCM학회지
Volume
13
Number
2
Start Page
151
End Page
158
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/29664
ISSN
1598-382X
2714-0016
Abstract
This paper provides the method to construct the preventative maintenance(PM) policy for the engineering system using the data mining. Most engineering systems undergo degradation due to abrasion and aging. Such degradation causes the system to increase failures. The data mining predicts the failure code for the engineering system by classifying the attribute, symptom and failure data of the engineering system. When the method presented in this study is applied, the PM policy could be systematic and realistic. An empirical case is presented to discuss the suggested approach.
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COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF INDUSTRIAL & MANAGEMENT ENGINEERING > 1. Journal Articles

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