SHyFTOO, an object-oriented Monte Carlo simulation library for the modeling of Stochastic Hybrid Fault Tree Automaton

2020 ◽  
Vol 146 ◽  
pp. 113139 ◽  
Author(s):  
Ferdinando Chiacchio ◽  
Jose Ignacio Aizpurua ◽  
Lucio Compagno ◽  
Diego D'Urso
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Fault Tree ◽  
Object Oriented ◽  
Tree Automaton

scholarly journals Load-sharing Accounting Between the Renewable Communication Channels of the System of Three Iot-devices Connected by a Triangle

2020 ◽  
Author(s):  
Serhiy Shcherbovskykh ◽  
Tetyana Stefanovych
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Comparative Analysis ◽  
Fault Tree ◽  
Communication Channels ◽  
Load Sharing ◽  
Transition Diagram ◽  
Fault Trees ◽  
Iot Devices

The k-terminal dynamic fault trees for a system of three IoT-devices connected by a triangle are formed. Based on the fault tree a state and transition diagram is generated. This model can take into account adequately) load-sharing effects between renewable communication channels. Availability characteristics and failure causes characteristics are calculated based on Monte-Carlo simulation and comparative analysis for obtained results is done.

A Comparison of Probabilistic-Monte Carlo and Fuzzy-Monte Carlo Simulation Approaches for Dynamic Fault Tree: Case of Renewable Power Systems

2020 ◽  
Author(s):  
Jafar Asghari ◽  
Mohammad Pourgol Mohammad
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Power Systems ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Tree Analysis ◽  
Renewable Energy Systems ◽  
Renewable Power ◽  
Dynamic Fault Tree ◽  
Different Types

Abstract Conventional Fault Tree Analysis (FTA) suffers from a variety of shortcomings which must be considered in critical analysis. The main disadvantage of FTA is its inability to model the dynamic failure behaviors of the components. Accordingly, Dynamic Fault Tree Analysis (DFTA) has been proposed to overcome such limitation. In this study, first, Monte Carlo simulation (MSC) approach is used to handle internal calculations of dynamic gates. The second main weakness of common FTA is about handling the different types of uncertainties. Hence, in the second step of this study, a combined of fuzzy numbers and MCS has been proposed to overcome the limitation of FTA in dealing with uncertainties. The main purpose of this paper is a comparative study on differences between MCS and Fuzzy-Monte Carlo simulation (FMCS) approaches for solving DFTA of a typical mechanical system. From available literatures, our proposed approaches have been demonstrated on different renewable energy systems, as case studies, and results are discussed. A comparison between MCS and FMCS shows that the results of FMCS method are reasonable and more realistic. Finally, in the last section, conclusions and some of the future wok are proposed.

FPGA-based Monte Carlo simulation for fault tree analysis

2004 ◽  
Vol 44 (6) ◽  
pp. 1017-1028 ◽  
Author(s):  
Alireza Ejlali ◽  
Seyed Ghassem Miremadi
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Tree Analysis
Sign in / Sign up

Export Citation Format

Share Document