Risk Assessment of Complex System Based on Man-Machine-Environment

2019 ◽  
Author(s):  
Yuanyuan Guo ◽  
Youchao Sun ◽  
Longbiao Li ◽  
Yide He
Keyword(s):  
Complex System ◽  
Risk Assessment

Role of Component Sensitivity Analysis in the Risk Assessment of a Large and Complex System

2004 ◽  
pp. 2854-2859
Author(s):  
Sitakanta Mohanty ◽  
Budhi Sagar ◽  
Ron Janetzke ◽  
Gordon Wittmeyer ◽  
Wesley Patrick
Keyword(s):  
Complex System ◽  
Risk Assessment ◽  
Sensitivity Analysis

scholarly journals Object Oriented Bayesian Network for complex system risk assessment

2016 ◽  
Vol 49 (28) ◽  
pp. 31-36 ◽  
Author(s):  
Q. Liu ◽  
F. Pérès ◽  
A. Tchangani
Keyword(s):  
Complex System ◽  
Risk Assessment ◽  
Bayesian Network ◽  
Object Oriented ◽  
System Risk

Electricity Infrastructure Technical Security

2020 ◽  
pp. 1-30
Author(s):  
Martin Hromada ◽  
David Rehak ◽  
Neil Walker
Keyword(s):  
Complex System ◽  
Risk Assessment ◽  
Risk Management ◽  
Risk Analysis ◽  
Best Practices ◽  
Risk Identification ◽  
Security Measures ◽  
Identification Methods ◽  
General Energy ◽  
Electricity Infrastructure

In general, energy infrastructure is a basic but very complex system of elements, interconnections, functional inputs and outputs, which creates the need to break down subsystems, systems, and infrastructure areas. The aim of this chapter is therefore to discuss the possible implementation of approaches to risk assessment and risk management in relation to the application of technical security measures. This chapter of the book will therefore discuss risk analysis methods where the transition from general approaches to risk analysis, through risk identification methods and procedures and the assessment of major industrial and technological risks, to specific risk analysis methodologies for electricity infrastructures, will be presented. An important part of the chapter is also the introduction of practical approaches and methodologies that are accepted as “best practices” in connection with ensuring the technical security of electricity infrastructures.

A Risk Assessment and Control Model for the Failing Björk-Shiley Convexo-Concave Heart Valve

1996 ◽  
Vol 12 (1) ◽  
pp. 141-145 ◽  
Author(s):  
Floor Koornneef ◽  
Geerda L. van Gaalen ◽  
Bas A. J. M. de Mol
Keyword(s):  
Complex System ◽  
Risk Assessment ◽  
Life Cycle ◽  
Heart Valve ◽  
Medical Problem ◽  
Control Model ◽  
Assessment Model ◽  
System Model ◽  
Intensity Assessment ◽  
And Control

AbstractFor risk assessment and control of the failing Björk-Shiley convexo-concave heart valve, we present a life cycle-based complex system model and a risk intensity assessment model, allowing consistent analysis of this complex medical problem and identification of all pertinent aspects of product-related risks to patients.

Power Transformer Life Analysis Based on Risk Assessment

2014 ◽  
Vol 672-674 ◽  
pp. 1151-1154 ◽  
Author(s):  
Yi Yun Sun ◽  
Xin Wang ◽  
Yi Hui Zheng ◽  
Li Xue Li ◽  
Qing Shan Xu
Keyword(s):  
Complex System ◽  
Risk Assessment ◽  
Analytical Hierarchy Process ◽  
Power Transformer ◽  
Fault Tree ◽  
Fuzzy Analytical Hierarchy Process ◽  
Full Life Cycle ◽  
Life Analysis ◽  
Full Life ◽  
Hierarchy Process

In order to grasp the state of full life cycle of the power transformer, A new method for power transformer life analysis based on risk assessment is proposed in this paper. Firstly power transformer risk assessment is conducted and fault tree is established accordingly to make the complex transformer faults system subdivide into various kinds of basic types directly; Secondly, the Fuzzy Analytical Hierarchy Process (FAHP) is designed to analyze the fault tree, so the complex system of transformer can be quantitatively described and the reliability of transformer can be obtained; Finally, transformer aging model is established to research the change rules of the transformer runnung state and determine the duration that the transformer stays in each stages of life. In addition, the application result shows the feasibility and effectiveness of the method above.

scholarly journals Complex system risk assessment based on the fuzzy probabilistic Bayesian inference

2019 ◽  
Author(s):  
V. V. Borisov ◽  
A. S. Ponomarenko ◽  
A. S. Fedulov ◽  
V. I. Bobkov
Keyword(s):  
Complex System ◽  
Risk Assessment ◽  
Bayesian Inference ◽  
System Risk

scholarly journals A Novel Risk Assessment and Analysis Method for Correlation in a Complex System Based on Multi-Dimensional Theory

2020 ◽  
Vol 10 (9) ◽  
pp. 3007 ◽  
Author(s):  
Zeyong Jiang ◽  
Tingdi Zhao ◽  
Shihai Wang ◽  
Fuchun Ren
Keyword(s):  
Complex System ◽  
Risk Assessment ◽  
Complex Systems ◽  
Rapid Development ◽  
Propagation Time ◽  
Analysis Method ◽  
Fault Propagation ◽  
Dimensional Theory ◽  
Safety Risk ◽  
Risk Assessment And Analysis

With the rapid development of high integrations in large complex systems, such as aircraft, satellite, and railway systems, due to the increasingly complex coupling relationship between components within the system, local disturbances or faults may cause global effects on the system by fault propagation. Therefore, there are new challenges in safety analysis and risk assessment for complex systems. Aiming at analyzing and evaluating the inherent risks of the complex system with coupling correlation characteristics objectively, this paper proposes a novel risk assessment and analysis method for correlation in complex system based on multi-dimensional theory. Firstly, the formal description and coupling degree analysis method of the hierarchical structure of complex systems is established. Moreover, considering the three safety risk factors of fault propagation probability, potential severity, and fault propagation time, a multi-dimensional safety risk theory is proposed, in order to evaluate the risk of each element within the system effecting on the overall system. Furthermore, critical safety elements are identified based on Pareto rules, As Low As Reasonably Practicable (ALARP) principles, and safety risk entropy to support the preventive measures. Finally, an application of an avionics system is provided to demonstrate the effectiveness of the proposed method.

scholarly journals Analysis of the influence of risk factors on the efficiency of innovation-investment projects in construction

2019 ◽  
pp. 87-97
Author(s):  
Yuliia Mykytyuk
Keyword(s):  
Complex System ◽  
Risk Factors ◽  
Risk Assessment ◽  
Research Methods ◽  
Cognitive Modeling ◽  
Innovation Activity ◽  
Investment Projects ◽  
Modeling Technology ◽  
Methodological Approaches ◽  
Further Development

Introduction. Despite extensive research in the field of innovation, it is necessary to point out the lack of methodological approaches to assess the efficiency of innovation activity of enterprises, although a wide range of recommendations based on existing approaches have been made to address certain aspects of these issues, but they require further development, deepening and systematization. including those taking into account risk factors. The importance of addressing the issues of improving existing methods of assessing the effectiveness of investment in innovation, developing methodological approaches to quantitative assessment of the level of innovation risk and uncertainty, finding ways to choose between alternative options for investing in innovative projects, defines the problem of evaluating the effectiveness of innovative projects. The purpose of the study is to substantiate the organizational provisions of the analysis of the influence of risk factors on the effectiveness of innovative investment projects in construction. In order to achieve this goal, we are tasked with: determining the impact of risk factors on the effectiveness of innovation and investment projects; consider the use of cognitive risk modeling of an investment project. Research methods. To achieve this goal, the article uses the following general scientific and specific research methods: analysis and synthesis - to improve the interpretation of the concept of “innovation risk”; systematic approach - to clarify the economic content of the concept of “efficiency of innovation-investment projects”; expert evaluation - to calculate the integral values of risk in the implementation of innovative investment projects in construction. Results. The application of cognitive modeling methodology in the process of analyzing the effectiveness of innovation investment projects is substantiated, it is established that the use of cognitive modeling technology can be considered as one of the possible options for the development of methodological tools for risk assessment of innovative projects in terms of time constraints and the need to take into account the complex system of interconnectedness the number of heterogeneous risk factors. Discussion. Prospects for further development of the research are structuring and risk assessment, depending on the level of influence on the effectiveness of innovation- investment projects, taking into account organizational, management, production and financial and economic risks. The use of cognitive modeling technology should be considered as one of the possible ways of developing methodological tools for assessing the risks of innovative projects in the conditions of limited time and the need to take into account the complex system of interrelationships of a large number of heterogeneous risk factors. Further scientific research towards the analysis of the influence of risk factors on the effectiveness of innovation- investment projects in construction should be taken as a basis for the development of an adequate anti-risk mechanism for managing the efficiency of innovation-investment projects.

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