File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

이벤트 시간 정보를 이용한 장비 이상 진단

Alternative Title
Diagnostics of Automated Manufacturing Processes Using Event Time Durations
Author(s)
이승철
Issued Date
2014-02-13
URI
https://scholarworks.unist.ac.kr/handle/201301/40118
Citation
2014년 춘계 한국 CAD/CAM 학회 학술대회
Abstract
This paper addresses a new intelligent information technology designed for automated manufacturing diagnostics and maintenance decision support. This new solution, Factory EKG Technology (F-EKG), can help manufacturing enterprises to trace and record minimal motions in their automated machinery processes, detect process variation in real time, and provide early warnings to conduct preventive maintenance before failures actually occur. The technology fills the gap in the current diagnostics and fault detection tools heavily based upon sensing technology, rather that it digitizes existing PLC information to the rhythm of machine processes, which is enables faster detection of process behavior changes. We demonstrate the effectiveness of F-EKG with the real industrial applications.
Publisher
한국 CAD/CAM 학회

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.