Wastewater Plant Reliability Prediction Using the Machine Learning Classification Algorithms

One way to optimize wastewater treatment system infrastructure, its operations, monitoring, maintenance and management is through development of smart forecasting, monitoring failure prediction systems using machine learning modeling. The aim this paper was develop a model that able predict water pump based on the asymmetrical type data obtained from sensors such as levels, capacity, current flow values. Several classification algorithms were used for predicting failure. Using algorithms, it possible make predictions future values with simple input values, well probabilities each sample belonging class. In order build model, an dataset containing aforementioned variables used.