The Method for Risk Evaluation in Assembly Process based on the Discrete-Time SIRS Epidemic Model and Information Entropy

Wu, Mengyao; Dai, Wei; Lu, Zhiyuan; Zhao, Yu; Meiqing, Wang

doi:10.3390/e21111029

Cited by 6 publications

(5 citation statements)

References 53 publications

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“…For example, a new entropy aging indicator has been proposed, and software aging has been estimated on the basis of multidimensional multiscale entropy [60,61]. Recently, information entropy is used in the fault diagnosis of rotating machinery [67][68][69], such as rolling bearings [67].…”

Section: Research Progress On Defect Diagnosismentioning

confidence: 99%

Entropy Generation Methodology for Defect Analysis of Electronic and Mechanical Components—A Review

Cai

Cui

Qin

et al. 2020

Entropy

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Understanding the defect characterization of electronic and mechanical components is a crucial step in diagnosing component lifetime. Technologies for determining reliability, such as thermal modeling, cohesion modeling, statistical distribution, and entropy generation analysis, have been developed widely. Defect analysis based on the irreversibility entropy generation methodology is favorable for electronic and mechanical components because the second law of thermodynamics plays a unique role in the analysis of various damage assessment problems encountered in the engineering field. In recent years, numerical and theoretical studies involving entropy generation methodologies have been carried out to predict and diagnose the lifetime of electronic and mechanical components. This work aimed to review previous defect analysis studies that used entropy generation methodologies for electronic and mechanical components. The methodologies are classified into two categories, namely, damage analysis for electronic devices and defect diagnosis for mechanical components. Entropy generation formulations are also divided into two detailed derivations and are summarized and discussed by combining their applications. This work is expected to clarify the relationship among entropy generation methodologies, and benefit the research and development of reliable engineering components.

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Section: Research Progress On Defect Diagnosismentioning

confidence: 99%

Entropy Generation Methodology for Defect Analysis of Electronic and Mechanical Components—A Review

Cai

Cui

Qin

et al. 2020

Entropy

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“…SIR simulations are widely regarded as an effective technology to conduct risk analyses with the application of CN (Meng et al., 2016; Opuszko & Ruhland, 2013; Wu et al., 2019). In the present study, the SIR is also used to implement the sensitivity analysis.…”

Section: Principle Of the Novel Methodology To Conduct A Risk Assessmentmentioning

confidence: 99%

A novel methodology concentrating on risk propagation to conduct a risk analysis based on a directed complex network

Deng

Qiao

et al. 2022

Risk Analysis

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A novel methodology is proposed in the present study to describe the risk propagation process by quantitatively evaluating the criticality and sensitivity of risk events according to complex network theory, based on which risk matrices are developed to interrupt the risk propagation process by setting up safety barriers. The applicability and accuracy of the improved k-shell decomposition algorithm and risk flow model for calculating the criticality proposed in this study are verified by the susceptible-infectedrecovered (SIR) simulation, which is widely regarded as a benchmark for complex networks (CN) issues. The results confirm the advantages of the proposed methodologies considering comprehensively various comparison indicators. The sensitivity of the nodes is quantified by running an SIR simulation with a variable infection rate and recovery rate. Finally, the criticality and sensitivity of risk events contribute to the development of risk matrices with three different risk scenarios, based on which the applicability and effectiveness of safety barriers are qualitatively analyzed to interrupt the risk propagation process. The framework and methodologies proposed in this study could well present the risk propagation process within CNs and are proven to have a great potential for studies on safety barriers.

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“…(2) Security risk management model based on big data Risk management refers to the identification of static or dynamic risks, and the measurement and analysis of risks, so as to effectively control the identified risks and select the most appropriate method for comprehensive risk treatment to achieve the best science of risk management and control Management method (Wu, 2019). The main goal of risk management is to deal with risks and control risks, prevent and reduce losses, so as to ensure the smooth progress of business operations, society and various activities.…”

Section: Risk Management Based On Big Data Analysismentioning

confidence: 99%

Digital Innovation Risk Management Model of Discrete Manufacturing Enterprise Based on Big Data Analysis

Zhang

2021

Journal of Global Information Management

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At present, most risk management work mainly relies on manpower, and manpower relies on the professional knowledge of relevant skilled workers to discover hidden safety risks in production activities. This article combines relevant big data theories and 4V characteristics to analyze and investigate safety production and big data, study data structure, data source and data type. Using 5W1H scientific big data and applications, this analysis method analyzes the theoretical basis, applications and beneficiaries of big data related to safety production, some of which are application links and important theoretical issues. Secondly, it studies the security risk management model based on big data, proposes a risk management model based on big data, the technical basis of big data and the idea of a three-dimensional model, and applies the systematic space method, which is reflected in three aspects of risk management. In the end, a risk identification model based on big data, a risk assessment classification model, and a risk early warning and pre-control model are defined.

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The Method for Risk Evaluation in Assembly Process based on the Discrete-Time SIRS Epidemic Model and Information Entropy

Cited by 6 publications

References 53 publications

Entropy Generation Methodology for Defect Analysis of Electronic and Mechanical Components—A Review

Entropy Generation Methodology for Defect Analysis of Electronic and Mechanical Components—A Review

A novel methodology concentrating on risk propagation to conduct a risk analysis based on a directed complex network

Digital Innovation Risk Management Model of Discrete Manufacturing Enterprise Based on Big Data Analysis

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