Mine safety assessment using gray relational analysis and bow tie model

Xu, Qingwei; Xu, Kaili

doi:10.1371/journal.pone.0193576

Cited by 45 publications

(47 citation statements)

References 42 publications

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“…Here, we analysed the critical basic event low permeability coefficient with the bow tie model [36] to identify said causes and determine safety measures accordingly. Eight preventive safety measures were set on the left which halt the causes of a low permeability coefficient and 14 mitigative safety measures were set on the right which reduce the consequences of the low permeability coefficient.…”

Section: Discussionmentioning

confidence: 99%

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Mine safety assessment based on basic event importance: grey relational analysis and bow tie model

et al. 2018

R. Soc. open sci.

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Safety assessments are a crucial first step in preventing coal and gas outburst accidents. The main purpose of this study was to create a new accident prevention technique using a novel safety assessment method based on fault tree basic event importance, grey relational analysis and the bow tie model. The innovation of the proposed method lies in generating the composite importance of a basic event from the fundamental importance via grey relational analysis; bow tie analysis serves to reveal the most critical basic event. First, the minimal cut sets and minimal path sets of a coal and gas outburst accident are determined by fault tree analysis. The role of minimal cut and path sets is determined and the coal and gas outburst occurrence frequency is calculated accordingly. Second, the structure, probability, critical and Fussell–Vesely importance ranked basic events differently due to different aspects of the basic events as investigated. We establish a composite importance to represent single basic events and achieved new ranking results by grey relational analysis. Third, the critical basic event low permeability coefficient is analysed via bow tie model and safety measures are defined which prevent the dangerous consequences of a low permeability coefficient. An actual coal and gas outburst accident is used as a case study to test the feasibility and effectiveness of the proposed method.

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Section: Discussionmentioning

confidence: 99%

“…The bow tie model integrates basic causes, possible consequences and corresponding safety measures of an accident in a transparent diagram [36]. In this study, we used the bow tie model to analyse the critical events threatening safe production in the mine.…”

Section: Introductionmentioning

confidence: 99%

Mine safety assessment based on basic event importance: grey relational analysis and bow tie model

et al. 2018

R. Soc. open sci.

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“…To validate the cloud model adopted in the evaluation process of the red wine sample, this section compares the evaluation results of AE-C using gray relational analysis. A brief procedure of gray relational analysis is presented next (Aslantas, Ekici, & Çiçek, 2018;Xu & Xu, 2018c;Xu, Xu, Li, & Yao, 2018a).…”

Section: Gray Relational Analysis Of Ae-cmentioning

confidence: 99%

“…To validate the cloud model adopted in the red wine evaluation process, this section compares the evaluation results of red wine samples using a fuzzy evaluation method. A brief description of the fuzzy evaluation method is as follows (Li, Cundy, & Chen, 2018;Wu, Li, Wang, & Li, 2018;Xu & Xu, 2018c).…”

Section: Fuzzy Evaluation Of Red Wine Samplementioning

confidence: 99%

Quality evaluation of Chinese red wine based on cloud model

2019

J Food Biochem

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Determining the quality of red wine is based on many qualitative and quantitative factors. Compared with other evaluation methods, the cloud model has an uncertainty transformation between a qualitative concept and its corresponding quantitative value, and the uncertainty transformation included fuzziness and randomness, which is suitable for solving the complexity of red wine evaluation. This study introduced the cloud model into quality evaluation of red wine for the first time, and a novel algorithm of comprehensive cloud model was proposed based on an addition algorithm of two cloud models. Furthermore, to validate the cloud model adopted in our red wine evaluation system, we used the gray relational analysis and fuzzy evaluation method. The evaluation result for the red wine sample was Good, and the result confirmed that our cloud model can be used to evaluate the quality of red wine. Practical applications In 2013, China surpassed France to become the largest country of red wine consumption in the world. Red wine is made by a natural fermentation process. There are several components that make up red wine, but the most abundant is grape juice. Ethyl alcohol is the second most abundant element and it is made naturally by the fermentation of the sugar in grape. There are more than 1,000 remaining components in the recipe for red wine, where 300 are comparatively important. Although the proportion of these components is not high, they are important factors in determining the quality of red wine. Sensory evaluation is the most common method used to determine the quality of red wine. This work has identified a cloud model that can be used, based on sensory evaluation, to determine the quality of red wine.

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“…It allows for studying problems where only partial information is known, for example for uncertain systems with few data available. Grey theory has been adopted for data modelling and forecasting, systems' analysis, as well as for decision-support and control [47][48][49].…”

Section: Introductionmentioning

confidence: 99%

Safety Risk Assessment of a Pb-Zn Mine Based on Fuzzy-Grey Correlation Analysis

Dong

Wei

et al. 2020

Electronics

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Improving safety management and risk evaluation methods is important for the global mining industry, which is the backbone of the industrial development of our society. To prevent any accidental loss or harm to human life and property, a safety risk assessment method is needed to perform the continuous risk assessment of mines. Based on the requirements of mine safety evaluation, this paper proposes the Pb-Zn mine safety risk evaluation model based on the fuzzy-grey correlation analysis method. The model is compared with the risk assessment model based on the fuzzy TOPSIS method. Through the experiments, our results demonstrate that the proposed fuzzy-grey correlation model is more sensitive to risk and has less effect on the evaluation results under different scoring attitudes (cautious, rational, and relaxed).

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Mine safety assessment using gray relational analysis and bow tie model

Cited by 45 publications

References 42 publications

Mine safety assessment based on basic event importance: grey relational analysis and bow tie model

Mine safety assessment based on basic event importance: grey relational analysis and bow tie model

Quality evaluation of Chinese red wine based on cloud model

Safety Risk Assessment of a Pb-Zn Mine Based on Fuzzy-Grey Correlation Analysis

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