퍼지추론을 이용한 설비가동상태진단 모델 연구

• 영문명: Development of Equipment Operating Condition Diagnosis Model Using the Fuzzy Inference
• 발행기관: 한국산업경영시스템학회
• 저자명: 정영득(Young-Deuk Jeong) 박주식(Ju-Sik Park)
• 간행물 정보: 『산업경영시스템학회지』제28권 제4호, 109~115쪽, 전체 7쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2005.12.01

영문 초록

In the study, Methods for operating measures in equipment security to find out dangerousness timely in the system and to need for the prevention and measures. The method for analyzing and reconstructing the causes of accident of equipment in site, and try to save the information of site in real-time and to analyze the state of equipment to look for the factors of accidents. By this analysis, one plan for efficiency of production, Equipment Fault Diagnosis Management and security is integrating and building module of using the Fuzzy Inference based on fuzzy theory. The case study is applied to the industrial electric motors that are necessarily used to all manufacturing equipment. Using the sensor for temperature is attached to gain the site information in real time and to design the hardware module for signal processing. In software, realize the system supervising and automatically saving to management data base by the algorithm based in fuzzy theory from the existing manual input system.

목차

Abstract

1. 서론

2. 설비보전과 관리의 고찰

3. R-IFEM 시스템 고찰

4. R-IFEM 구현 적용

5. 결론 및 향후과제

참고문헌