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Voltage Predictions in Buried Gas Pipelines

Wezel, Jelle van (2018) Voltage Predictions in Buried Gas Pipelines. Master's Thesis / Essay, Computing Science.

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Abstract

Cathodic Protection is a method applied to many steel structures like ships, bridges, buildings, and pipelines to protect them from corrosion. It protects these structures from corrosion by applying a current to them, when the currents reach a certain threshold the structures are no longer protected. Voltages are then measured in the structures. Being able to predict these voltages is therefore deemed vital in preventing corrosion and subsequent damages on these structures. This work focuses on voltage predictions in cathodic protected steel gas pipelines. The pipelines are held by a transmission system operator in The Netherlands called Coteq. Coteq has constructed a dataset containing yearly voltage measurements of the pipelines and a dataset containing the ground these pipelines lay in. We applied Chebyshev imputation to account for the missing values in the voltage dataset, a sliding window technique, and three Machine Learning models to do the voltage predictions. The applied models are: k Nearest Neighbors , Multiple Linear Regression, and Learning Vector Quantization. The models were trained on a one-step scenario and then applied in a multi-step set-up by reusing the on-step predictions in the sliding window to do the longterm predictions. We show that the one-step predictions are accurate for the tested models (classification rate of 96% for the best performing model), but improvements can still be made in the longterm situation.

Item Type: Thesis (Master's Thesis / Essay)
Supervisor:
Supervisor nameSupervisor E mail
Biehl, M.M.Biehl@rug.nl
Bunte, K.K.Bunte@rug.nl
Supervisor (outside RUG):
Supervisor outside RUG nameSupervisor outside RUG E mail
Bosgraaf, RichardUNSPECIFIED
Degree programme: Computing Science
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 30 Aug 2018
Last Modified: 06 Sep 2018 12:38
URI: http://fse.studenttheses.ub.rug.nl/id/eprint/18466

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