1D CNN Model for Corrosion Prediction

Zaini, Nurfaraheen (2020) 1D CNN Model for Corrosion Prediction. [Final Year Project] (Submitted)

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The large number of pipelines that have in this world have led to create a
prediction system which can help in keep maintaining the condition of
pipelines. Then, the used of advanced analytics can help to uncover patterns
that not revealed by conventional analytics and predictive analytics are the
future pipeline condition assessment and monitoring that will provide
stakeholders with a better overview of operations, more control and flexibility
for managing pipeline assets. Besides, it is to develop a machine learning of
predictive analytics algorithm with a visualization dashboard for the predicted
of internal and external corrosion levels of pipelines. It can help to enhance the
integrity management of strategic pipelines as well.

Item Type: Final Year Project
Subjects: Q Science > Q Science (General)
Departments / MOR / COE: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Mr Ahmad Suhairi Mohamed Lazim
Date Deposited: 24 Sep 2021 09:56
Last Modified: 24 Sep 2021 09:56
URI: http://utpedia.utp.edu.my/id/eprint/21797

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