Piecewise Deterministic Markov Process (PDMP) is a mathematical framework able to support the rig-orous definition of Dynamic reliability problems. Modeling a system as a PDMP offers a more realistic description of its dynamic behavior - allowing the engineer to gain several insights during the system design. However, solving a Dy-namic reliability problem is not an easy task. Difficulties arise in: the definition of a model able to capture the determin-istic and stochastic nature of the system and their interaction, and that model solution often requires large computing re-sources. This paper proposes: (i) a modeling formalism which couples stochastic transition-systems, e.g., Stochastic Activity Networks, and flow-sheet models, e.g., Simulink®; and (ii) a Discrete Event Simulation algorithm embedding a sampling procedure based on the Thinning method. A case study of an air-cooling system modeled as a deterministic dynamic system which is subjected to failures is used to show the method.

Dynamic Reliability Analysis of Three Nonlinear Aging Components with Different Failure Modes Characteristics

Chiacchio F.;COMPAGNO, Lucio;D'URSO, DIEGO;TRAPANI, NATALIA;
2013

Abstract

Piecewise Deterministic Markov Process (PDMP) is a mathematical framework able to support the rig-orous definition of Dynamic reliability problems. Modeling a system as a PDMP offers a more realistic description of its dynamic behavior - allowing the engineer to gain several insights during the system design. However, solving a Dy-namic reliability problem is not an easy task. Difficulties arise in: the definition of a model able to capture the determin-istic and stochastic nature of the system and their interaction, and that model solution often requires large computing re-sources. This paper proposes: (i) a modeling formalism which couples stochastic transition-systems, e.g., Stochastic Activity Networks, and flow-sheet models, e.g., Simulink®; and (ii) a Discrete Event Simulation algorithm embedding a sampling procedure based on the Thinning method. A case study of an air-cooling system modeled as a deterministic dynamic system which is subjected to failures is used to show the method.
9781138001237
Dynamic reliability; Descrete event simulation; Monte Carlo simulation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/83189
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