Résumé:
This course provides a comprehensive introduction to the principles and
practices of maintenance and reliability engineering, tailored for undergraduate
students in automation and industrial systems. It covers foundational concepts
such as maintenance types (corrective, preventive, predictive, proactive), failure
mechanisms and modes, and diagnostic methodologies. Emphasis is placed on
modern strategies for optimizing equipment reliability and minimizing
downtime, including quantitative analysis techniques (e.g., ABC analysis,
decision trees, criticality matrices), and the application of international standards
(ISO, IEC, NF EN). Through theoretical instruction and applied exercises,
students are equipped with practical tools to develop, evaluate, and implement
effective maintenance plans that enhance system performance, safety, and cost-
efficiency. The course also explores the integration of emerging technologies
such as IoT and AI in predictive maintenance.
