Term 232
Smart Predictive Maintenance for Water Pumps with Recommendation System
Project Type: Self-Initiated
Project Description
Forecasting potential breakdowns in water pumps to allow for proactive maintenance actions to be taken, ensuring necessary repairs or replacements are conducted before the system experiences shutdowns. This proactive strategy not only reduces unexpected disruptions but also helps to lower maintenance costs, leading to enhanced efficiency and savings for the water supply infrastructure as a whole.
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Project Team
Nussair Adel Hroub
Computer Science
Hammad Reshoud Alreshoud
Electrical Engineering
Abdullah Saud Alotaibi
Industrial & Systems Engg.
Bader Sultan Alnemer
Industrial & Systems Engg.
Turkey Khalid Alhumaili
Applied Chemical Engineering
Ahmad Khalil Al Haid
Computer ScienceTeam Coach
DR. Abdelmalek Zidouri
Associate ProfessorElectrical Engineering Dept.
Interdisciplinary Research Center for Intelligent Secure Systems