معلومات المقرر

This course provides a comprehensive foundation in the principles, techniques, and tools used in the diagnostic and monitoring of electromechanical systems. It begins with the classification and definitions of operational anomalies, including faults, failures, and malfunctions, and progresses through a structured methodology for fault detection, localization, identification, and decision-making. Emphasis is placed on evaluating diagnostic performance using criteria such as detectability, sensitivity, robustness, and detection speed. The course explores both model-free methods (such as frequency analysis, hardware redundancy, specific sensors, and artificial neural networks) and model-based techniques (including parity space, observers, and parametric estimation). Through theoretical analysis and practical case studies, students will develop the skills required to implement effective diagnostic strategies and ensure the reliability and safety of industrial systems.