Authors: Velimirović, Lazar 
Janković, Radmila 
Velimirović, Jelena 
Janjić, Aleksandar
Affiliations: Computer Science 
Mathematical Institute of the Serbian Academy of Sciences and Arts 
Title: Wastewater Plant Reliability Prediction Using the Machine Learning Classification Algorithms
Journal: Symmetry
Volume: 13
Issue: 8
First page: 1518
Issue Date: 2021
Rank: ~M22
ISSN: 2073-8994
DOI: 10.3390/sym13081518
One way to optimize wastewater treatment system infrastructure, its operations, monitoring, maintenance and management is through development of smart forecasting, monitoring and failure prediction systems using machine learning modeling. The aim of this paper was to develop a model that was able to predict a water pump failure based on the asymmetrical type of data obtained from sensors such as water levels, capacity, current and flow values. Several machine learning classification algorithms were used for predicting water pump failure. Using the classification algorithms, it was possible to make predictions of future values with a simple input of current values, as well as predicting probabilities of each sample belonging to each class. In order to build a prediction model, an asymmetrical type dataset containing the aforementioned variables was used.
Keywords: machine learning; prediction | classification algorithms | water pump failure | optimization
Publisher: MDPI

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