Universiti Teknologi Malaysia Institutional Repository

Fuzzy logic model for degumming and bleaching troubleshooting in palm oil refining

Mohamad Ali, Nur Syuhada' and Ali, M. and Mohd. Yusof, Khairiyah (2017) Fuzzy logic model for degumming and bleaching troubleshooting in palm oil refining. In: 16th International Conference on Control, Automation and Systems, ICCAS 2016, 2016, South Korea.

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Official URL: http://dx.doi.org/10.1109/ICCAS.2016.7832448

Abstract

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.

Item Type:Conference or Workshop Item (Paper)
Additional Information:RADIS System Ref No:PB/2016/07192
Uncontrolled Keywords:palm oil refining, troubleshooting
Subjects:T Technology > TP Chemical technology
Divisions:Chemical Engineering
ID Code:66486
Deposited By: Fazli Masari
Deposited On:03 Oct 2017 21:20
Last Modified:03 Oct 2017 21:20

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