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
- 전종선; 박창순; 안선응
- 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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Collections - COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF INDUSTRIAL & MANAGEMENT ENGINEERING > 1. Journal Articles
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