Desalination of Marine water using Machine Learning Methods

Previous works for water desalination usually work for hybrid fault diagonalisation methods. Which has the advantage of improving the dresolution, accuracy and reliability. However, such an assumption is not accurate in certain cases. In this paper, the water desalination fault is detected using the machine learning technique. The proposed method uses the raw data which is obtained from the desalination system. Here machine learning techniques such as deep learning and decision trees were deployed and it was formed that the results obtained from decision trees were more accurate than deep learning.