Fuzzy expert system for troubleshooting of the deodorizer unit in a palm oil refining plant

Intan Suhairi Salleh; Nur Syuhada Ali; Farzad Hourfar; Khairiyah Mohd Yusof; Nurul Sulaiha Sulaiman; Hishamuddin Jamaluddin; Gholamreza Zahedi; Ali Almansoori; Ali ElKamel

doi:10.1002/cjce.24701

Fuzzy expert system for troubleshooting of the deodorizer unit in a palm oil refining plant

Intan Suhairi Salleh, Nur Syuhada Ali, Farzad Hourfar, Khairiyah Mohd Yusof, Nurul Sulaiha Sulaiman, Hishamuddin Jamaluddin, Gholamreza Zahedi, Ali Almansoori, Ali ElKamel

Chemical and Petroleum Engineering

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

In this paper, a troubleshooting technique is developed to provide a sequence of necessary actions during deodorizer unit failure in a palm oil refinery. This paper introduces a fuzzy expert system that incorporates the knowledge of experienced plant workers in dealing with the complex problems of the palm oil deodorizer. The presented methodology uses both qualitative and quantitative data. Qualitative data are collected from several interview sessions with the technical staff in a palm oil refinery. Quantitative data are gathered from various sources, such as control and monitoring systems. The qualitative data are analyzed to discover the possible pattern of faults in the deodorizer failure. This tool can diagnose possible faults and provide a sequence of necessary actions when deodorizer failure occurs. The obtained results show the developed deodorizer troubleshooting tool is useful to guide plant workers/operators in diagnosing the possible faults and abnormalities during the troubleshooting process, as well as to provide field training for inexperienced staff.

Original language	British English
Journal	Canadian Journal of Chemical Engineering
DOIs	https://doi.org/10.1002/cjce.24701
State	Accepted/In press - 2022

Keywords

bio-refinery
fault diagnosis
fuzzy expert systems
industrial deodorizer
plant troubleshooting

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10.1002/cjce.24701

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@article{91a5ab315d81466aba148b51fac2c989,

title = "Fuzzy expert system for troubleshooting of the deodorizer unit in a palm oil refining plant",

abstract = "In this paper, a troubleshooting technique is developed to provide a sequence of necessary actions during deodorizer unit failure in a palm oil refinery. This paper introduces a fuzzy expert system that incorporates the knowledge of experienced plant workers in dealing with the complex problems of the palm oil deodorizer. The presented methodology uses both qualitative and quantitative data. Qualitative data are collected from several interview sessions with the technical staff in a palm oil refinery. Quantitative data are gathered from various sources, such as control and monitoring systems. The qualitative data are analyzed to discover the possible pattern of faults in the deodorizer failure. This tool can diagnose possible faults and provide a sequence of necessary actions when deodorizer failure occurs. The obtained results show the developed deodorizer troubleshooting tool is useful to guide plant workers/operators in diagnosing the possible faults and abnormalities during the troubleshooting process, as well as to provide field training for inexperienced staff.",

keywords = "bio-refinery, fault diagnosis, fuzzy expert systems, industrial deodorizer, plant troubleshooting",

author = "Salleh, {Intan Suhairi} and Ali, {Nur Syuhada} and Farzad Hourfar and Yusof, {Khairiyah Mohd} and Sulaiman, {Nurul Sulaiha} and Hishamuddin Jamaluddin and Gholamreza Zahedi and Ali Almansoori and Ali ElKamel",

note = "Funding Information: The authors would like to thank the Ministry of Higher Education Malaysia and Universiti Teknologi Malaysia for supporting this work through research grant JPT.S(BPKl)2000/09/01 Jld.28 (6) under the cost centre number R.J130000.7809.5F112. Publisher Copyright: {\textcopyright} 2022 Canadian Society for Chemical Engineering.",

year = "2022",

doi = "10.1002/cjce.24701",

language = "British English",

journal = "Canadian Journal of Chemical Engineering",

issn = "0008-4034",

publisher = "John Wiley and Sons Inc.",

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T1 - Fuzzy expert system for troubleshooting of the deodorizer unit in a palm oil refining plant

AU - Salleh, Intan Suhairi

AU - Ali, Nur Syuhada

AU - Hourfar, Farzad

AU - Yusof, Khairiyah Mohd

AU - Sulaiman, Nurul Sulaiha

AU - Jamaluddin, Hishamuddin

AU - Zahedi, Gholamreza

AU - Almansoori, Ali

AU - ElKamel, Ali

N1 - Funding Information: The authors would like to thank the Ministry of Higher Education Malaysia and Universiti Teknologi Malaysia for supporting this work through research grant JPT.S(BPKl)2000/09/01 Jld.28 (6) under the cost centre number R.J130000.7809.5F112. Publisher Copyright: © 2022 Canadian Society for Chemical Engineering.

PY - 2022

Y1 - 2022

N2 - In this paper, a troubleshooting technique is developed to provide a sequence of necessary actions during deodorizer unit failure in a palm oil refinery. This paper introduces a fuzzy expert system that incorporates the knowledge of experienced plant workers in dealing with the complex problems of the palm oil deodorizer. The presented methodology uses both qualitative and quantitative data. Qualitative data are collected from several interview sessions with the technical staff in a palm oil refinery. Quantitative data are gathered from various sources, such as control and monitoring systems. The qualitative data are analyzed to discover the possible pattern of faults in the deodorizer failure. This tool can diagnose possible faults and provide a sequence of necessary actions when deodorizer failure occurs. The obtained results show the developed deodorizer troubleshooting tool is useful to guide plant workers/operators in diagnosing the possible faults and abnormalities during the troubleshooting process, as well as to provide field training for inexperienced staff.

AB - In this paper, a troubleshooting technique is developed to provide a sequence of necessary actions during deodorizer unit failure in a palm oil refinery. This paper introduces a fuzzy expert system that incorporates the knowledge of experienced plant workers in dealing with the complex problems of the palm oil deodorizer. The presented methodology uses both qualitative and quantitative data. Qualitative data are collected from several interview sessions with the technical staff in a palm oil refinery. Quantitative data are gathered from various sources, such as control and monitoring systems. The qualitative data are analyzed to discover the possible pattern of faults in the deodorizer failure. This tool can diagnose possible faults and provide a sequence of necessary actions when deodorizer failure occurs. The obtained results show the developed deodorizer troubleshooting tool is useful to guide plant workers/operators in diagnosing the possible faults and abnormalities during the troubleshooting process, as well as to provide field training for inexperienced staff.

KW - bio-refinery

KW - fault diagnosis

KW - fuzzy expert systems

KW - industrial deodorizer

KW - plant troubleshooting

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M3 - Article

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SN - 0008-4034

JO - Canadian Journal of Chemical Engineering

JF - Canadian Journal of Chemical Engineering

ER -

Fuzzy expert system for troubleshooting of the deodorizer unit in a palm oil refining plant

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