International Journal of Nonlinear Analysis and Applications

The application of machine learning algorithms with a fuzzy approach to investigating faults in the control system of consumable water resources

Articles in Press

Document Type : Research Paper

Authors

1 Department of Computer Engineering, Babol Branch, Islamic Azad University, Babol, Iran

2 Department of Mathematics, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran

3 Department of Computer Engineering, Sari Branch, Islamic Azad University, Sari, Iran

10.22075/ijnaa.2024.33191.4941

Abstract

Nowadays, proper management of water resources is essential due to the scarcity of freshwater resources and the high cost of wastewater treatment. To control and optimize while avoiding human mistakes, it is necessary to design and implement an intelligent automated system to minimize human intervention. On the other hand, inevitable deficiencies in system equipment require fault detection and localization methods, all of which involve time and cost. Nevertheless, these costs can be reduced by examining faults in the design phase before entering the implementation phase. This article uses a simulated sample system to demonstrate the method's effectiveness. In this way, system faults in the design phase are predicted through machine learning methods. The system's tolerance for dealing with them is evaluated using fuzzy approaches. The proposed approach consists of a process-oriented framework comprising offline and online phases.

Keywords

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International Journal of Nonlinear Analysis and Applications

Articles in Press, Corrected Proof
Available Online from 20 November 2024
  • Receive Date: 04 February 2024
  • Revise Date: 09 March 2024
  • Accept Date: 07 April 2024