Model-Based Safety Analysis for the Fly-by-Wire System by Using Monte Carlo Simulation

Lu, Zhong; Zhuang, Lu; Dong, Li; Liang, Xihui

doi:10.3390/pr8010090

Cited by 9 publications

(7 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The reason is its modification to current conditions and the usability of modern software tools, which leads to its wide applicability in various scientific disciplines. The Monte Carlo method is currently used in the field of physics and electrical engineering [26][27][28][29], chemistry [30,31], safety assessment [32], industry [33,34], public sector [35], economy [36][37][38][39], and others. We most often encounter the Monte Carlo method in simulations in economics, e.g., in option pricing, financial decisionmaking, etc.…”

Section: Modern Methods In Financial Managementmentioning

confidence: 99%

Model for Sustainable Financial Planning and Investment Financing Using Monte Carlo Method

2022

View full text Add to dashboard Cite

The article deals with current issues of finance and investment planning with a selective focus on financial decision-making processes using sophisticated software tools. The article has a special significance in this period when it is necessary to re-evaluate and consider ways of appropriate and effective investment and financial policy in view of the restrictions in enterprises in Slovakia, which brings with it the global pandemic COVID-19 or another crisis in enterprises. The aim of the article is to propose a methodology as a tool for streamlining the investment activities of companies. The proposed methodology combines the usability of traditional and modern economic methods, making it an important tool for the sustainability and competitiveness of enterprises. Three variants of investment decisions in the enterprise were simulated using simulation in terms of two approaches. The first approach focuses on mathematical–economic calculations of deterministic modeling through traditional software tools. The second stochastic modeling uses the simulation of financial risks using a modern software tool using the Monte Carlo method. The output is the creation of a graphical management model in the form of an algorithm.

show abstract

Section: Modern Methods In Financial Managementmentioning

confidence: 99%

Model for Sustainable Financial Planning and Investment Financing Using Monte Carlo Method

2022

View full text Add to dashboard Cite

show abstract

“…Lu et al [27] study the safety performance of the fly-by-wire system of an aircraft. The safety analysis is based on stochastic simulations of a Simulink model.…”

Section: Papers Presented In the Special Issuementioning

confidence: 99%

Recent Advances on Optimization for Control, Observation, and Safety

2020

View full text Add to dashboard Cite

show abstract

“…This is commonly done using simulators, ''fault injection'' and deviation sensitivity studies (see e.g. Lu et al 4 ). Nevertheless, there are cases where there exist so many causes of deviation, and so many combinations of these, that effort for simulation becomes excessive.…”

Section: Introductionmentioning

confidence: 99%

Continuum fault trees

Taylor

Kozine

2022

Proceedings of the Institution of Mechanical Engineers, Part O:

View full text Add to dashboard Cite

The motivation for this paper is the observation that combinations of small deviations in continuous performance parameters can combine to cause failure of an entire system, even though no one of these deviations is sufficient of itself to cause any failure. To be able to trace the change of continuous parameters and predict their transfer to non-permissible regions of the system state space, we suggest construction of continuum fault trees, which allow combinations of small, continuous deviations of system parameters as well as discrete failures. The construction of continuum fault trees suggests also developing equation bi-graphs, a causal diagram visualizing and combining all continuous performance parameters. The bi-graphs serve several purposes, one of which is the explication of feedback loops and hidden loops, that allow identification of hazards attributed to the loops as a whole rather than to individual components. Construction of both bi-graphs and continuum fault trees is demonstrated on the example of an automobile engine, the performance of which is presented by an analytical model. We consider the potential for employing continuum fault trees for analysis of AI-driven systems, as their performance is built on neural networks that have underlying continuous analytical models. An example for this is also provided. The general applicability of continuum fault trees is also considered

show abstract

Model-Based Safety Analysis for the Fly-by-Wire System by Using Monte Carlo Simulation

Cited by 9 publications

References 25 publications

Model for Sustainable Financial Planning and Investment Financing Using Monte Carlo Method

Model for Sustainable Financial Planning and Investment Financing Using Monte Carlo Method

Recent Advances on Optimization for Control, Observation, and Safety

Continuum fault trees

Contact Info

Product

Resources

About