Aim of the course is to provide the students with basic knowledge of probability theory and system dependability modeling by conventional and innovative procedures. The goal of the course is to improve the skill of the students in harmonizing the knowledge get in previous years as far as mathematics, physics and industrial engineering are concerned, and the one dealing with RAMS theory, in order to be able to model systems to forecast their performances in time.
Classroom lectures and numerical exercises resolution.
Probability theory basic elements.
Reliability definition and equations. Reliability prediction by combinatorial methods for conventional and non-conventional architectures.
Maintainability and Availability definition and equations. Dependability prediction by combinatorial methods for conventional architectures.
Risk assessment. Fault Tree Analysis. FMEA and FMECA.
Dependability prediction by state space analysis (Markov models).
Dependability analysis by Monte Carlo method
Preventive and corrective maintenance. Reliability Centred Maintenance procedures.
Load-strength analysis. Stress-life and strain-life analysis. Miner’s rule.
Life Cycle Cost definition and analysis.
International dependability standards.
S. Savio: Systems reliability and safety - 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
Ricevimento: Following an email request at stefano.savio@unige.it or a direct phone call (010-3352182).
STEFANO SAVIO (President)
RICCARDO BOZZO
MAURIZIO FRANCO MAZZUCCHELLI
PAOLO POZZOBON
STEFANO SACCARO
LUCIA CASSETTARI (President Substitute)
https://corsi.unige.it/8731/p/studenti-orario
RELIABILITY AND SAFETY OF SYSTEMS
Written and oral exams.
Aim of written and oral exams is to evaluate if the candidate has understood modeling procedures for system dependability prediction and is able to solve simple numerical examples. During oral exam candidate ability in clearly describing concepts and using a correct and suitable technical wording will be evaluated as well.
