1D CNN Model for Corrosion Prediction
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...
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| Main Author: | |
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| Format: | Final Year Project |
| Language: | English |
| Published: |
IRC
2020
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| Subjects: | |
| Online Access: | http://utpedia.utp.edu.my/21797/1/23283_Nurfaraheen%20Zaini.pdf http://utpedia.utp.edu.my/21797/ |
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| Summary: | 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. |
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