INSTRUCTOR: PIERO BARALDI
LECTURES
Lecture 1: Introduction to the Course
Lecture 2: Interpretation of Probability in Reliability and Risk Analysis
(Lecture 3: Flipped Class)
Lecture 4: Basic Notions of Probability Theory – Continuos PD
Lecture 4a: Supplementary Video – iRel 4.0
Lecture 5: Reliability of Simple Systems
Lecture 6: Availability and Maintainability
Lecture 7: Markov chain discrete time
Lecture 8: Markov chain continuous time
Lecture 9: Monte Carlo Simulation for Reliability and Availability Analyses
Lecture 10: Maintenance, Basic Concepts
Lecture 11: Estimation of reliability parameters from experimental data
Lecture 12: Estimation of components failure rates from statistical data: Bayesian approach
EXERCISE SESSIONS
Exercise Session 1: Probability
Exercise Session 2: Availability and Maintainability
Exercise Session 3: Markov Chain
Exercise Session 4a: Monte Carlo (Reliability and Availability estimation)
Exercise Session 4b: Monte Carlo (Definite integrals)
Exercise Session 5: Estimation of Reliability Parameters
Exercise Session 5 (additional material): Tables for parameters estimation
FLIPPED CLASS
Flipped Class 1 – Basic Notions of Probability Theory – Discrete PD
Flipped Class 1 – Exercises Solutions