Analysis of cascading failure of circuit systems based on load-capacity model of complex network

Fan, Youjiang; Yang, Cheng; Chen, Yunxia; Yang, Yi

doi:10.1109/icrse.2017.8030769

Cited by 4 publications

(4 citation statements)

References 20 publications

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“…The current redistribution process can be described by Equation (11), wherein ∆ D mn,ij (t 1 , t 2 ) represents the interaction between the components in the network, considering their respective degradations and shocks. The capacity threshold reduction process can be calculated by Equation (13). Furthermore, the trigger condition for hard failure is the arrival of the first fatal shock, which can be expressed by Equation (4).…”

Section: Slow Dynamic Propagation Modelmentioning

confidence: 99%

“…This approach abstracts the circuit system into a network topology and analyzes the inherent cascading failure propagation behavior of the circuit. Depending on the type of loads and solution methods, network-based methods can be categorized into three types: topological models [11][12][13], analytical equation-based models [14][15][16], and redistribution factor models [3,4]. Topological models concentrate on the correlation between pure topological parameters, such as clustering coefficients [11,12] and betweenness [13], and cascading failures.…”

Section: Introductionmentioning

confidence: 99%

“…Depending on the type of loads and solution methods, network-based methods can be categorized into three types: topological models [11][12][13], analytical equation-based models [14][15][16], and redistribution factor models [3,4]. Topological models concentrate on the correlation between pure topological parameters, such as clustering coefficients [11,12] and betweenness [13], and cascading failures. However, they neglect the physical laws governing the transfer of circuit current loads.…”

Section: Introductionmentioning

confidence: 99%

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Cascading Failure Modeling for Circuit Systems Considering Continuous Degradation and Random Shocks Using an Impedance Network

Jin,

Zhang

2024

Symmetry

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The reliability of circuit systems is primarily affected by cascading failures due to their complex structural and functional coupling. Causes of cascading failure during circuit operation include the continuous degradation process of components and external random shocks. Circuit systems can exhibit asymmetric structural changes and functional loss during cascading failure propagation due to the coupling of degradation and shock and their uncertainty effects. To tackle this issue, this paper abstracts the circuit into an impedance network and constructs a component failure behavior model that considers the correlation between degradation and shock. The interactions between soft and hard failure processes among different components are discussed. Two types of cascading failure propagation processes are described: slow propagation associated with continuous degradation and damage shock, and fast propagation due to fatal shock. Based on this, a cascading failure simulation algorithm is developed. This article presents a case study to demonstrate the proposed models and to analyze the reliability of a typical circuit system.

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Section: Slow Dynamic Propagation Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Cascading Failure Modeling for Circuit Systems Considering Continuous Degradation and Random Shocks Using an Impedance Network

Jin,

Zhang

2024

Symmetry

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“…Zhou proposed the optimization strategies of circuits design by using the complex network to analyze IMB-PLACE 2.0 benchmark circuits, and simulation data proved that large-scale circuits have small-world characteristics and scale-free characteristics [27]. Fan applied the complex network analysis method to build a cascading failure model based on the flow redistribution, analyzed the system vulnerability and robustness, and thus provided theoretical support for circuit design optimization [28]. Tan used the complex network for physical designs of circuit global similarity tests [29].…”

Section: Introductionmentioning

confidence: 99%

SEE Fault Sensitivity Analysis and Security Reinforcement Design for FPGA Circuits Based on Complex Network

et al. 2020

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There may exist many high-energy particles in spacecraft, so the FPGA circuits design needs corresponding sensitivity analysis and security reinforcement of anti-SEE (Single-event effects). However, it may be impractical to perform such measures to all modules of FGPA circuits due to limited resources. To identify the key modules which have a vital impact on the design and operation of FPGA circuits in spacecraft, this paper presents a novel scheme based on complex network for modeling the modules considering both the circuit functional structure and signal interaction relationship between modules. First, complex networks like MSN (Module Structure Network) and SFN (Signal Flow Network) are established to identify modules by treating each module as a node, and indicators including degree centrality (DC), betweenness centrality (BC), clustering coefficient (CC), etc., are calculated. Then, an entropy-weight method (EWM) is utilized to calculate the indicators comprehensively for identifying key modules. Next, network efficiency and sensitivity analysis are performed for failure modes. Finally, a case study is carried out, demonstrating the effectiveness of the proposed scheme for the key module identification. This work provides useful technical support for engineers in spacecraft FPGA circuits design and performance enhancement.INDEX TERMS Complex network, FPGA circuits, SEE sensitivity analysis, entropy-weight method.

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Analysis of Cascade Fault Optimization Based on Regional Fault and Traffic Reallocation in Complex Networks

2018

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Analysis of cascading failure of circuit systems based on load-capacity model of complex network

Cited by 4 publications

References 20 publications

Cascading Failure Modeling for Circuit Systems Considering Continuous Degradation and Random Shocks Using an Impedance Network

Cascading Failure Modeling for Circuit Systems Considering Continuous Degradation and Random Shocks Using an Impedance Network

SEE Fault Sensitivity Analysis and Security Reinforcement Design for FPGA Circuits Based on Complex Network

Analysis of Cascade Fault Optimization Based on Regional Fault and Traffic Reallocation in Complex Networks

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