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Abstract
This course introduces the fundamentals of reliability and risk analysis, from basic probability concepts to advanced computational techniques, for a variety of industrial application fields. The overall aim is to provide students with a package of methods for systematic and comprehensive system analyses to inform reliability, safety, and resilience.
Objective
At the end of the course, the students will be able to: • Develop risk analysis models for industrial systems (scenarios, undesired events, consequences) • Apply representative tools for quantitative risk analysis (Fault trees and event trees) • Use appropriate measures to understand the contributors (events, components) to system risk • Analyze risk contribution for human factors and incorporate in risk model • Characterize and propagate uncertainties in the risk model parameters - Apply methods to design reliability-, safety-, and resilience-enhancing solutions
Content
Risk definitions and risk/consequence diagrams; Fault trees and event trees; Boolean logic; risk importance measures; component models; reliability data; human reliability analysis; dependent failures and common causes of failure; Bayesian probability theory; uncertainty modeling and propagation; resilience analysis.