Evaluation of failure probability of a given system requires sampling of the system response and can be computationally expensive.
The quantitative evaluation of failure probability in Pandora TFTs is performed using exact probabilistic data about component failures.
This results in a quantitative criticality assessment of process parameters and the risk priority evaluation of failure modes.
Both cohesive and adhesive failure models were included in the analyses, allowing the evaluation of failure in the coating and/or at the coating/substrate interface.
The method is based on a recently developed surrogate-based method from Li and Xiu [J. Li, D. Xiu, Evaluation of failure probability via surrogate models, J. Comput. Phys. 229 (2010) 8966 8980] for failure probability computation.
The solution of the resulting optimization problem becomes complex because the evaluation of failure rates involves one optimization problem per failure mode (FORM), so that a decomposition method is used to solve the problem.
The solution becomes complex because the evaluation of failure probabilities using first-order reliability methods (FORM) involves one optimization problem per failure mode, so that decomposition methods are used to solve the problem.
The system reliability analysis section deals with the formulation and evaluation of failure probability in problems where more than one limit-state function must be considered (i.e., system reliability analysis).
Fundamentals of integrated risk assessment and risk-based decision analysis; stochastic modeling of natural and man-made hazards; evaluation of failure chances and consequences; decision criteria and acceptable risk; methods of risk assessment based on event trees, fault trees, system reliability, and stochastic processes in space and time: risk-based regulation, liability, and insurance.
This paper aims to propose a framework for the definition of an inspection policy with three main elements: evaluation of failure modes (MF) of a system, selection of the criteria that best represent each dimension of failure modes and a process for determining inspection actions through a multi-criteria approach.
