Abstract
Reliability assessment of industrial processes is traditionally performed with RAMS techniques. Such tech-niques are static in nature because they are unable to consider the multi-state operational and failure natureof systems and the dynamic variations of the environment in which they operate.Stochastic Hybrid Automaton appears to overcome this weakness coupling a deterministic and a stochas-tic process and integrating the features of a dynamic system with the concepts of dynamic reliability.At the state of the art, no attempts to enhance a formal RAMS technique with dynamic reliability has beentried, nor a computer-aided tool that plays as expert system has been coded yet.The aim of this paper is to fill this gap with a simulation formalism and a modelling tool able to combinethe Dynamic Fault Tree technique and the Stochastic Hybrid Automaton within the Simulink environment.To this aim the MatCarloRE toolbox was adapted to interact with a Simulink dynamic system. The resultingassembly represents an important step ahead for the delivering of a user-friendly computer-aided tool for thedynamic reliability.
| Original language | English |
|---|---|
| Pages (from-to) | 42-57 |
| Number of pages | 16 |
| Journal | Expert Systems with Applications |
| Volume | 47 |
| DOIs | |
| Publication status | Published - 2016 |
Keywords
- Dynamic reliability
- Monte Carlo simulation
- Simulink reliability modelling
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