지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2016.10
- 수록면
- 1,099 - 1,104 (6page)
이용수
초록· 키워드
오류제보하기
Failures at degumming and bleaching process in palm oil refining affect plant performance, production delay, and loss to the company. In current practice, troubleshooting in these process relies on human knowledge and trial and error method which can caused other failures and time consuming. In this study, fuzzy logic model was developed for troubleshooting degumming and bleaching process using Mamdani approached. Operating conditions at bleacher vessel, ejector, condenser, hotwell and cooling tower system were selected as input and output variables in the fuzzy logic model development. Qualitative and numerical data were collected in this study by interviewing plant workers, observing distributed control system (DCS), reviewing standard operating procedure (SOP), operation checklist and plant manuals. The relationship between input and output variables were described by fuzzy membership function and fuzzy rules. Centre of gravity method (COG) method was used for defuzzification. The proposed model was tested with real plant data and the model was shown successfully perform troubleshooting task and suggest necessary action. Therefore, this model has the potential to employed by operator and inexperience workers in palm oil industry.
목차
Abstract
1. INTRODUCTION
2. PROCESS DESCRIPTION
3. MODEL DEVELOPMENT
4. RESULTS AND DISCUSSION
5. CONCLUSION
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2017-003-001867134