사출공정에서의 예측정비에 관한 연구

• 영문명: Predictive Maintenance in Injection Molding Process
• 발행기관: 한국산업경영시스템학회
• 저자명: 박철순(ChulSoon Park) 문덕희(DugHee Moon)
• 간행물 정보: 『한국산업경영시스템학회 학술대회』2014년 춘계학술대회 논문집, 168~171쪽, 전체 3쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2014.05.10

영문 초록

In this research, we are developing a predictive maintenance model of the injection molding machines based on the prediction of trend of injection molding parameters. At first, we developed an interface method to directly monitor the real-time injection molding parameter data from injection molding machine controller. Second, we identified the principal injection parameters which mainly affect the quality of injection molding products and need to be monitored for maintenance. Third, based on the time series analysis, we developed the prediction models of the principal injection molding parameters, which are identified by previous statistical model to forecast its future patterns/trends and schedule its maintenance point in time. We adopted Nelson's rules to identify abnormal patterns in predicted data. Finally, we used FTA (fault tree analysis) to relate the injection molding parameters to the parts of the injection molding machine, find out the equipment or parts to be corrected.

목차

Abstract

1. 서론

2. 정비대상항목 도출

3. 통계적 예측모델 개발

4. 결론

참고문헌

키워드

Maintenance Injection Molding Prediction Model Time Series Analysis