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MACHINE LEARNING PREDICTIVE MODEL DEVELOPMENT FOR VACUUM DISTILLATION UNIT IN LUBRICANT BASE OIL PRODUCTION

Predictive modelling through machine learning is utilized to accurately determine the predictive variables for a given target variable in the operation of a Vacuum Distillation Unit in a lubricant base oil plant. This is done by training the model using 70% of the past plant data from 2018 to 2020 a...

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Main Author: SARAVANAN, PRAKASH
Format: Final Year Project
Language:English
Published: 2021
Subjects:
TP Chemical technology
Online Access:http://utpedia.utp.edu.my/id/eprint/25879/1/Thesis_Prakash%20-%20Prakash%20Saravanan.pdf
http://utpedia.utp.edu.my/id/eprint/25879/
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record_format eprints
spelling oai:utpedia.utp.edu.my:258792024-02-29T06:58:37Z http://utpedia.utp.edu.my/id/eprint/25879/ MACHINE LEARNING PREDICTIVE MODEL DEVELOPMENT FOR VACUUM DISTILLATION UNIT IN LUBRICANT BASE OIL PRODUCTION SARAVANAN, PRAKASH TP Chemical technology Predictive modelling through machine learning is utilized to accurately determine the predictive variables for a given target variable in the operation of a Vacuum Distillation Unit in a lubricant base oil plant. This is done by training the model using 70% of the past plant data from 2018 to 2020 and enables the model to capture the correlations between the target variables and the predictor variables. 2021-01 Final Year Project NonPeerReviewed text en http://utpedia.utp.edu.my/id/eprint/25879/1/Thesis_Prakash%20-%20Prakash%20Saravanan.pdf SARAVANAN, PRAKASH (2021) MACHINE LEARNING PREDICTIVE MODEL DEVELOPMENT FOR VACUUM DISTILLATION UNIT IN LUBRICANT BASE OIL PRODUCTION. [Final Year Project] (Submitted)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
SARAVANAN, PRAKASH
MACHINE LEARNING PREDICTIVE MODEL DEVELOPMENT FOR VACUUM DISTILLATION UNIT IN LUBRICANT BASE OIL PRODUCTION
description Predictive modelling through machine learning is utilized to accurately determine the predictive variables for a given target variable in the operation of a Vacuum Distillation Unit in a lubricant base oil plant. This is done by training the model using 70% of the past plant data from 2018 to 2020 and enables the model to capture the correlations between the target variables and the predictor variables.
format Final Year Project
author SARAVANAN, PRAKASH
author_facet SARAVANAN, PRAKASH
author_sort SARAVANAN, PRAKASH
title MACHINE LEARNING PREDICTIVE MODEL DEVELOPMENT FOR VACUUM DISTILLATION UNIT IN LUBRICANT BASE OIL PRODUCTION
title_short MACHINE LEARNING PREDICTIVE MODEL DEVELOPMENT FOR VACUUM DISTILLATION UNIT IN LUBRICANT BASE OIL PRODUCTION
title_full MACHINE LEARNING PREDICTIVE MODEL DEVELOPMENT FOR VACUUM DISTILLATION UNIT IN LUBRICANT BASE OIL PRODUCTION
title_fullStr MACHINE LEARNING PREDICTIVE MODEL DEVELOPMENT FOR VACUUM DISTILLATION UNIT IN LUBRICANT BASE OIL PRODUCTION
title_full_unstemmed MACHINE LEARNING PREDICTIVE MODEL DEVELOPMENT FOR VACUUM DISTILLATION UNIT IN LUBRICANT BASE OIL PRODUCTION
title_sort machine learning predictive model development for vacuum distillation unit in lubricant base oil production
publishDate 2021
url http://utpedia.utp.edu.my/id/eprint/25879/1/Thesis_Prakash%20-%20Prakash%20Saravanan.pdf
http://utpedia.utp.edu.my/id/eprint/25879/
_version_ 1794572849902518272
score 13.211869

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