Implementing Rehabilitation And Maintenance Of Machine Workshop Using Fuzzy Controller Application. a Case Study Of Machine Equipment At Caritas University Amorji Nike Enugu
Keywords:
machine equipment, fault detection, fuzzy logic, predictive maintenance, intelligent system, Caritas UniversityAbstract
This research work explores the implementation of rehabilitation and maintenance practices for machine equipment using a fuzzy controller application, with a focus on machine equipment at Caritas University, Amorji Nike, Enugu. The research aims to improve the operational efficiency and reliability of the machine by implementing an intelligent fuzzy logic-based system for fault detection and predictive maintenance. The study proposed system’s ability to detect faults, reduce machine downtime, and improve rehabilitation efficiency. Results indicate that the fuzzy controller significantly enhanced fault detection accuracy, reducing machine downtime by 39%, and providing cost-effective maintenance solutions. The fuzzy controller system proved to be a cost-effective and efficient alternative to traditional maintenance methods. It significantly reduced machine downtime, improved rehabilitation efficiency, and enhanced the operational reliability of the lathe machine. Furthermore, the intuitive nature of the system allowed for easy adoption by technicians and conventional rehabilitation and maintenance of workshop lathe machine at caritas university was 10%. On the other hand, when fuzzy controller was imbibed in the system, it automatically improved to 12.3%. Finally, the percentage enhancement of rehabilitation and maintenance of workshop in lathe machine at caritas university was 2.3% when fuzzy controller was integrated in the system
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