Next Article in Journal
Another Step in the Ladder of DNS-Based Covert Channels: Hiding Ill-Disposed Information in DNSKEY RRs
Previous Article in Journal
A Novel Approach to Component Assembly Inspection Based on Mask R-CNN and Support Vector Machines
Open AccessArticle

Modelling and Resolution of Dynamic Reliability Problems by the Coupling of Simulink and the Stochastic Hybrid Fault Tree Object Oriented (SHyFTOO) Library

1
Department of Electrical, Electronic and Computer Engineering, University of Catania, 95131 Catania, Italy
2
Department of Electronics & Computer Science, Mondragon University, 20500 Mondragón, Spain
3
School of Industrial engineering, Islamic Azad University, South Tehran Branch, Tehran 1584743311, Iran
*
Author to whom correspondence should be addressed.
Information 2019, 10(9), 283; https://doi.org/10.3390/info10090283
Received: 5 August 2019 / Revised: 4 September 2019 / Accepted: 7 September 2019 / Published: 11 September 2019
Dependability assessment is one of the most important activities for the analysis of complex systems. Classical analysis techniques of safety, risk, and dependability, like Fault Tree Analysis or Reliability Block Diagrams, are easy to implement, but they estimate inaccurate dependability results due to their simplified hypotheses that assume the components’ malfunctions to be independent from each other and from the system working conditions. Recent contributions within the umbrella of Dynamic Probabilistic Risk Assessment have shown the potential to improve the accuracy of classical dependability analysis methods. Among them, Stochastic Hybrid Fault Tree Automaton (SHyFTA) is a promising methodology because it can combine a Dynamic Fault Tree model with the physics-based deterministic model of a system process, and it can generate dependability metrics along with performance indicators of the physical variables. This paper presents the Stochastic Hybrid Fault Tree Object Oriented (SHyFTOO), a Matlab® software library for the modelling and the resolution of a SHyFTA model. One of the novel features discussed in this contribution is the ease of coupling with a Matlab® Simulink model that facilitates the design of complex system dynamics. To demonstrate the utilization of this software library and the augmented capability of generating further dependability indicators, three different case studies are discussed and solved with a thorough description for the implementation of the corresponding SHyFTA models. View Full-Text
Keywords: dependability, monte carlo simulation, multi-state systems, repairable dynamic fault trees, dynamic systems, hybrid simulation dependability, monte carlo simulation, multi-state systems, repairable dynamic fault trees, dynamic systems, hybrid simulation
Show Figures

Figure 1

MDPI and ACS Style

Chiacchio, F.; Aizpurua, J.I.; Compagno, L.; Khodayee, S.M.; D’Urso, D. Modelling and Resolution of Dynamic Reliability Problems by the Coupling of Simulink and the Stochastic Hybrid Fault Tree Object Oriented (SHyFTOO) Library. Information 2019, 10, 283.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map

1
Back to TopTop