scholarly journals A New Accident Analysis Method Based on Complex Network and Cascading Failure

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Ziyan Luo ◽  
Keping Li ◽  
Xin Ma ◽  
Jin Zhou
Keyword(s):  
Complex Network ◽  
Network Theory ◽  
Cascading Failure ◽  
Accident Analysis ◽  
Analysis Method ◽  
Complex Network Theory ◽  
Accident Prediction ◽  
Prediction And Prevention ◽  
Accident Causation ◽  
The Government

A new accident causation model is proposed for accident analysis based on the complex network theory. By employing the cascading failure scheme, a new accident investigation method is performed on the associated new model, by which we can reveal key causation factors and key causation factor chains that lead to the final accident. The efficiency of a network is introduced for evaluating the severity of the damage of the whole network and hence the severity of the accident if it happens. All these can provide the government or associations with recommendations for accident prediction and prevention.

Regional Vulnerability Analysis of Grid Structure

2013 ◽  
Vol 419 ◽  
pp. 877-882
Author(s):  
Xun Cheng Huang ◽  
Huan Qi ◽  
Xiao Pan Zhang ◽  
Li Fang Lu ◽  
Yang Yu Hu
Keyword(s):  
Power System ◽  
Complex Network ◽  
Network Theory ◽  
Power Grid ◽  
Maximum Load ◽  
Central China ◽  
Cascading Failure ◽  
Grid Structure ◽  
Complex Network Theory ◽  
Regional Vulnerability

Cascading failure of network features in power system is analyzed in this paper using complex network theory and method, and Central China power grid are analyzed in detail on the three kinds of attack forms (maximum load, the most generous attack and random attack) of regional vulnerability. It provides technical means for the prevention of cascading failure .

scholarly journals A Novel Algorithm of Identification Theory of Complex Network for Public Transportation Network Cascading Failure

2021 ◽  
Vol 15 ◽  
pp. 236-247
Author(s):  
Xu Xu
Keyword(s):  
Complex Network ◽  
Network Theory ◽  
Public Transportation ◽  
Transportation Network ◽  
Network Evolution ◽  
Cascading Failure ◽  
Complex Network Theory ◽  
Node Importance ◽  
Public Transportation Network ◽  
Bus Network

With the development of complex network theory and the gradual application of the traffic field, the problem of cascading failure has caused great attention of researchers. This paper tries to propose a new method based on complex network theory to measure the importance of nodes in the network. Based on complex network theory, this paper first discusses the network evolution mechanism of three main contents, define the importance of nodes in the network, and the design of the network center and the evaluation of the importance of node algorithm. In the end, a critical section identification method considering the failure probability and the failure consequence is designed, and the method for calculating the node importance based on the cascading failure is proposed. Using complex network theory, a quantitative assessment of the center of public transportation network and node importance model is designed. The bus network center, for the study of node importance analysis of bus network survivability has important significance. Help guide the optimization of public transport network service. Improve transport capacity of public transportation system.

scholarly journals Dynamic Power Flow Cascading Failure Analysis of Wind Power Integration with Complex Network Theory

Energies ◽  
2017 ◽  
Vol 11 (1) ◽  
pp. 63 ◽  
Author(s):  
Yushu Sun ◽  
Xisheng Tang ◽  
Guowei Zhang ◽  
Fufeng Miao ◽  
Ping Wang
Keyword(s):  
Failure Analysis ◽  
Wind Power ◽  
Complex Network ◽  
Network Theory ◽  
Power Flow ◽  
Cascading Failure ◽  
Dynamic Power ◽  
Complex Network Theory ◽  
Wind Power Integration

scholarly journals Critical Hazards Identification and Prevention of Cascading Escalator Accidents at Metro Rail Transit Stations

2020 ◽  
Vol 17 (10) ◽  
pp. 3400
Author(s):  
Zhiru Wang ◽  
Ran S. Bhamra ◽  
Min Wang ◽  
Han Xie ◽  
Lili Yang
Keyword(s):  
Network Analysis ◽  
Complex Network ◽  
Network Theory ◽  
Preventive Measures ◽  
Management Plan ◽  
Rail Transit ◽  
Analysis Method ◽  
Cascading Effects ◽  
Complex Network Theory ◽  
Passenger Behavior

Escalator accidents not only happen frequently but also have cascading effects. The purpose of this study is to block the formation of cascading accident networks by identifying and preventing critical hazards. A modified five-step task-driven method (FTDM) is proposed to break down passenger-related cascading escalator accidents. Three complex network parameters in complex network theory are utilized to identify critical and non-critical Risk Passenger Behavior (RPB) hazards and Other Hazards related with Risk Passenger Behavior (OH-RPB) in accident chains. A total of 327 accidents that occurred in the Beijing metro rail transit (MRT) stations were used for case studies. The results are consistent in critical and non-critical RPB and OH-RPB and prove that through combination of FTDM accident investigation model and complex network analysis method, critical and non-critical RPB and OH-RPB in a complicated cascading hazards network can be identified. Prevention of critical RPB can block the formation of cascading accident networks. The method not only can be used by safety manager to make the corresponding preventive measures according to the results in daily management but also the findings can guide the allocation of limited preventive resources to critical hazards rather than non-critical hazards. Moreover, the defects of management plan and product design can be re-examined according to the research results.

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