Degumming and bleaching process troubleshooting in a palm oil refining process using fuzzy expert system with thematic analysis

IF 1.4 4区 工程技术 Q3 ENGINEERING, CHEMICAL
Nur Syuhada Mohd Ali, Intan Suhairi Salleh, Nurul Sulaiha Sulaiman, Tengku Zulaikha Malim-Busu, Hishamuddin Jamaluddin, Mohd Fauzi Othman, Shahrum Shah Abdullah, Khairiyah Mohd-Yusof
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引用次数: 0

Abstract

Degumming and bleaching are critical steps in the palm oil refining process, as they are the precursors to the qualities of refined, bleached, and deodorized palm oil. In practice, plant operators often face oil rejections in these processes and solve the problem by trial and error. Hence, a fuzzy expert system is developed to troubleshoot the degumming and bleaching process, for identifying failures and suggesting actions. However, developing the knowledge base and inference engine in the fuzzy expert system for troubleshooting the degumming and bleaching process is challenging because the data in the actual palm oil refining process are poorly documented and must be obtained from various sources, including field observation, document analysis, and interviews, and need to be analyzed using thematic analysis. The results from the thematic analysis were represented as input and output variables of the fuzzy expert system. The developed fuzzy expert system is tested and validated against different data sets and industrial data to identify faults and suggest necessary actions. To evaluate the robustness of the troubleshooting system, the membership functions of the fuzzy expert system are adjusted based on the distributed control system (DCS). The results show that the troubleshooting system can effectively diagnose potential faults and provide necessary actions and can serve as a useful guidance for failures in the degumming and bleaching process.

利用专题分析模糊专家系统排除棕榈油精炼过程中的脱胶和漂白工艺故障
脱胶和漂白是棕榈油精炼过程中的关键步骤,因为它们是精炼、漂白和脱臭棕榈油品质的先决条件。在实际操作中,工厂操作员经常会在这些工序中遇到废油问题,并通过反复试验来解决问题。因此,开发了一个模糊专家系统来排除脱胶和漂白过程中的故障,以识别故障并提出行动建议。然而,开发用于排除脱胶和漂白过程故障的模糊专家系统的知识库和推理引擎具有挑战性,因为实际棕榈油精炼过程中的数据记录不全,必须从各种来源获取,包括实地观察、文件分析和访谈,并且需要使用专题分析法进行分析。专题分析的结果被表示为模糊专家系统的输入和输出变量。根据不同的数据集和工业数据对开发的模糊专家系统进行测试和验证,以识别故障并提出必要的行动建议。为了评估故障诊断系统的鲁棒性,根据分布式控制系统(DCS)调整了模糊专家系统的成员函数。结果表明,故障诊断系统能有效诊断潜在故障并提供必要的措施,对脱胶和漂白过程中的故障能起到有效的指导作用。
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来源期刊
自引率
11.10%
发文量
111
期刊介绍: Asia-Pacific Journal of Chemical Engineering is aimed at capturing current developments and initiatives in chemical engineering related and specialised areas. Publishing six issues each year, the journal showcases innovative technological developments, providing an opportunity for technology transfer and collaboration. Asia-Pacific Journal of Chemical Engineering will focus particular attention on the key areas of: Process Application (separation, polymer, catalysis, nanotechnology, electrochemistry, nuclear technology); Energy and Environmental Technology (materials for energy storage and conversion, coal gasification, gas liquefaction, air pollution control, water treatment, waste utilization and management, nuclear waste remediation); and Biochemical Engineering (including targeted drug delivery applications).
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