OVERVIEW

The teaching provides basic knowledge to carry out RAMS (Reliability, Availability, Maintainability, Safety) analysis of a system, presenting both theoretical issues and operating tools. Thanks to classroom lectures and numerical exercises resolution, students learn procedures to model RAMS behavior of a multi-component system, to forecast its performance in time from a probabilistic perspective.

AIMS AND CONTENT

LEARNING OUTCOMES

The teaching aims to provide the student with the theoretical knowledge and operating procedures necessary to perform predictive analysis of the Dependability characteristics of a system or process.

AIMS AND LEARNING OUTCOMES

Aim of the teaching is to provide the students with basic knowledge of probability theory and system Dependability modelling by conventional and innovative procedures. The goal of the teaching is to improve the skill of the students in harmonizing the knowledge they got in previous years as far as mathematics, physics and industrial engineering are concerned, and the one dealing with RAMS theory, to forecast system reliability, availability and safety performances in the time domain.

PREREQUISITES

There are no specific requirements.

TEACHING METHODS

Classroom lectures and numerical exercises resolution.

Students with valid certifications for Specific Learning Disorders (SLDs), disabilities or other educational needs are invited to contact the teacher and the School's contact person for disability at the beginning of teaching to agree on possible teaching arrangements that, while respecting the teaching objectives, take into account individual learning patterns. Contacts of the teacher and the School's disability contact person can be found at the following link Comitato di Ateneo per l’inclusione delle studentesse e degli studenti con disabilità o con DSA | UniGe | Università di Genova.

SYLLABUS/CONTENT

Probability theory basic elements.

Reliability definition and equations. Reliability prediction by combinatorial methods for conventional and non-conventional architectures.

Maintainability definition and basic relationships. Preventive and corrective maintenance. Reliability Centred Maintenance procedures.

Availability definition and equations. Dependability prediction by combinatorial methods for conventional architectures.

Safety definition and Risk assessment. FMEA and FMECA. Fault Tree Analysis.

Dependability prediction by state space analysis (Markov models).

Asymptotic frequencies theory and MUT, MTTR, MTBF computation.

Dependability analysis by Monte Carlo method.

Load-Strength and Stress-Life Analysis. Palmgren-Miner’s rule.

RECOMMENDED READING/BIBLIOGRAPHY

S. Savio: Models and tools for Dependability prediction of industrial systems - lecture notes (Italian version only)

P. O’Connor: Practical Reliability Engineering, John Wiley & Sons

A. Villemeur: Reliability, Availability, Maintainability and safety Assessment, John Wiley & Sons

I. Bazovsky: Reliability theory and practice, Dover Publications

TEACHERS AND EXAM BOARD

LESSONS

LESSONS START

https://corsi.unige.it/corsi/8716/studenti-orario

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

Oral exam: 2 questions concerning the contents of the lectures, duration of about 75 minutes.

ASSESSMENT METHODS

The aim of the oral exam is to evaluate if the candidate has understood modeling procedures for system dependability prediction and is able to solve simple numerical examples. During the oral exam candidate ability in clearly describing concepts and using correct and suitable technical wording will be evaluated as well.

FURTHER INFORMATION

Ask the professor for other information not included in the teaching schedule.