Course Topics
• Maintenance of industrial systems: basic concepts, objectives, failure classification and causes, maintenance strategies; • Modeling complex systems reliability: reliability functions, blocks diagrams, maintenance and system engineering, failure rate profiles, serial/parallel/k-out-of-n configurations; • Predictive maintenance: basic concepts, condition monitoring, system architecture and data, decision trees for failure classification; • Functional safety of machinery: safety and reliability in machinery control systems, functional safety of machinery, design of Safety Related Parts of Control Systems; • Methodologies for reliability design and evaluation: Failure Mode Effects (and Criticality) Analysis, Fault Tree Analysis;

Teaching format
Frontal lectures supplemented by (numerical) exercises and case studies.

Educational objectives
Knowledge and understanding: The students will be able to master basic and advanced concepts of industrial maintenance and reliability theory. They will gain an understanding of the concepts related to the modeling of reliability for both simple and complex systems, the application of reliability theory to the functional safety of machinery, methodologies for reliability design and evaluation, and strategies for maintenance management. Applying knowledge and understanding: The students will be able to analyze and discuss the reliability of complex industrial systems. Furthermore, they will apply the acquired theoretical concepts using tools and methodologies for designing and assessing reliable and safe production systems. Making judgments: According to specific conditions, students will be able to critically evaluate the appropriateness of various approaches and tools related to advanced maintenance principles, reliability of complex systems, methodologies for reliability design and evaluation, functional safety applied to industrial machinery, and predictive maintenance. Communication skills: Students will be able to use technical vocabulary related to the covered topics. Furthermore, they will be able to structure, prepare, and present scientific and technical documentation describing project activities and discuss them with decision-makers. Learning skills: Students will be able to autonomously expand their knowledge acquired during the course through reading and understanding scientific and technical documentation (including that provided by lecturers). Similarly, they will be able to expand their skills in using methodologies and tools for reliable systems design and maintenance management, investigating the use of cross-cutting or specific approaches to solve problems similar to those covered in the course.

Assessment
Evaluation will be by written examination supplemented by a report developed and discussed by the student. The written part will consist of answering theoretical questions and/or completing exercises on the topics covered in the course. The report will be related to a individual work assigned by the lecturer to deepen a specific topic or methodology discussed during the course. The parts of the final exam are following summarized: Written part (answering theoretical questions and/or completing exercises): 2 hours; Contribution to final grade: 80%; Individual report and discussion: To be carried out in the classroom and/or independently; Contribution to final grade: 20%.

Evaluation criteria
Criteria for evaluation of the written examination: correctness and completeness of answers. Criteria for evaluation of the individual work: correctness and completeness of the results and analyses provided in the report, as well as quality of the discussion and completeness of the answers to potential specific questions.