Causality analysis using process data.

Causality analysis methods are initiated by multivariate statistics used in other fields. Due to its strong capability to identify the relationship between the variables and also the prediction, many efforts have been spent to run these methods in the chemical industry field. Nearest neighbor metho...

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Main Author: Phettongkam Numan.
Other Authors: School of Chemical and Biomedical Engineering
Format: Final Year Project
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/15783
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-157832023-03-03T15:35:52Z Causality analysis using process data. Phettongkam Numan. School of Chemical and Biomedical Engineering Chen, Tao DRNTU::Engineering::Chemical engineering::Processes and operations Causality analysis methods are initiated by multivariate statistics used in other fields. Due to its strong capability to identify the relationship between the variables and also the prediction, many efforts have been spent to run these methods in the chemical industry field. Nearest neighbor method, with its simplicity to understand and implement, has been applied in this research to analyze the root-cause in the chemical plant. Simulation based on simple relationship between 2 variables has shown that nearest neighbor method is able to analyze the relationship between 2 variables in term of influence. It is able to analyze the root-cause in industrial case study. However, there is still minor error with regard to the identification of the relationship between variable that is not physically feasible in the process. Thus, nearest neighbor method cannot be applied to industrial chemical process data. Further developments by supplementation with other methods should be done to improve the validity. Bachelor of Engineering (Chemical and Biomolecular Engineering) 2009-05-15T01:42:49Z 2009-05-15T01:42:49Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/15783 en Nanyang Technological University 51 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Chemical engineering::Processes and operations
spellingShingle DRNTU::Engineering::Chemical engineering::Processes and operations
Phettongkam Numan.
Causality analysis using process data.
description Causality analysis methods are initiated by multivariate statistics used in other fields. Due to its strong capability to identify the relationship between the variables and also the prediction, many efforts have been spent to run these methods in the chemical industry field. Nearest neighbor method, with its simplicity to understand and implement, has been applied in this research to analyze the root-cause in the chemical plant. Simulation based on simple relationship between 2 variables has shown that nearest neighbor method is able to analyze the relationship between 2 variables in term of influence. It is able to analyze the root-cause in industrial case study. However, there is still minor error with regard to the identification of the relationship between variable that is not physically feasible in the process. Thus, nearest neighbor method cannot be applied to industrial chemical process data. Further developments by supplementation with other methods should be done to improve the validity.
author2 School of Chemical and Biomedical Engineering
author_facet School of Chemical and Biomedical Engineering
Phettongkam Numan.
format Final Year Project
author Phettongkam Numan.
author_sort Phettongkam Numan.
title Causality analysis using process data.
title_short Causality analysis using process data.
title_full Causality analysis using process data.
title_fullStr Causality analysis using process data.
title_full_unstemmed Causality analysis using process data.
title_sort causality analysis using process data.
publishDate 2009
url http://hdl.handle.net/10356/15783
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