This course offers hands-on training in diagnosing and analyzing automated systems using MATLAB as the primary simulation environment. Students will explore key concepts such as system modeling, fault detection, and performance evaluation. By following the course summary provided here, participants will gain practical skills in applying diagnostic tools and techniques to improve system reliability and efficiency.

This course provides an in-depth study of fault diagnosis techniques for automated systems, focusing on ensuring system reliability and operational efficiency. Students will explore both theoretical concepts and practical methods for identifying, analyzing, and resolving faults within complex industrial systems. The course emphasizes the use of advanced diagnostic tools and technologies, preparing students to handle real-world challenges in maintaining automated processes. With a combination of modern techniques and hands-on applications, this course equips students with the necessary skills to manage and optimize the performance of automated systems.