Enhancing Rehabilitation And Maintenance Of Workshop Using Fuzzy Controller Application. a Case Study Of Lathe Machine At Caritas University Amorji Nike Enugu

Abstract

This study explores the enhancement of rehabilitation and maintenance practices for workshop equipment using a fuzzy controller application, with a focus on the lathe machine at Caritas University, Amorji Nike, Enugu. The research aims to improve the operational efficiency and reliability of the lathe machine by implementing an intelligent fuzzy logic-based system for fault detection and predictive maintenance. The study evaluates the 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 40%, and providing cost-effective maintenance solutions. The system was also user-friendly, allowing workshop operators with minimal technical expertise to operate it efficiently. However, limitations such as occasional false positives under extreme environmental conditions were identified, suggesting the need for further optimization. This research contributes to the growing body of knowledge on intelligent maintenance systems, providing a framework for applying fuzzy logic to improve workshop operations, particularly in resource-constrained educational settings. The findings highlight the potential for adopting fuzzy controller applications to increase equipment reliability, reduce maintenance costs, and enhance the quality of technical education.