Accidents in Coal Mining from Perspective of Risk Theory

Khamidullina, E. A.; Тимофеева, С. С.; Smirnov, G. I.

doi:10.1088/1757-899x/262/1/012210

Cited by 8 publications

(6 citation statements)

References 6 publications

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“…Even with automation, better working conditions, strict and thorough safety laws, mining is one of the most hazardous occupations in the world 1,2 , and the Indian mining industry is no exception. Overall risk in the Indian mining industry is still beyond the desired levels [3][4][5][6][7][8] . In general, multiple factors contribute to accidents in the workplace and are typically categorized into two broad categories: unsafe conditions and unsafe behaviors [9][10][11][12] .…”

Section: Application Of Wrapper Based Hybrid System For Classificatio...mentioning

confidence: 99%

Application of wrapper based hybrid system for classification of risk tolerance in the Indian mining industry

Kumar

Bhattacharjee

2023

Sci Rep

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The degree to which an individual is willing to take risks i.e., risk tolerance is often cited as a significant causal element in the majority of workplace accidents. It is essential to determine the risk tolerance level of miners and utilise their risk profiles to design improved training modules, safety, recruitment, and deployment policies. This paper aims to identify the most critical factors (or features) influencing miners’ risk tolerance in the Indian coal industry and develop a robust prediction model to learn their risk tolerance levels. To do end, we first conducted a questionnaire survey representing the complete feature set (with 36 features) among 360 miners and divided their responses into five classes of risk tolerance. Next, we propose a wrapper based hybrid system that combines particle swarm optimization (PSO) and random forest (RF) to train a multi-class classifier with a subset of features. In general, the proposed system selects the best feature subset by iteratively generating different feature combinations using the PSO and training an RF classifier model to assess the effectiveness of the generated feature subsets for the F1-score. At last, we compared the PSO-RF with four traditional classification methods to evaluate its effectiveness in terms of precision, recall, F1-score, accuracy, goodness-of-fit, and area under the curve.

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Section: Application Of Wrapper Based Hybrid System For Classificatio...mentioning

confidence: 99%

Application of wrapper based hybrid system for classification of risk tolerance in the Indian mining industry

Kumar

Bhattacharjee

2023

Sci Rep

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“…Основними показниками контролепридатності самохідних обприскувачів, регламентованими нормативною документацією [2,3], зокрема зарубіжною [4], є повнота і глибина технічного контролю [5].…”

Section: в статті обговорюються питання впливу на показники безвідмон...unclassified

Аналітичні Положення Впливу Повноти Технічного Контролю На Безвідмовність Самохідних Обприскувачів

Любченко¹,

Rogovskii²

2022

mapp

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В статті обговорюються питання впливу на показники безвідмоності самохідних обприскувачів систем параметрів вбудованого технічного контролю, таких як повнота і глибина технічного контролю. Розроблено аналітичні моделі деяких типових структур безвідмовності самохідних обприскувачів, в яких враховуються характеристики технічного контролю за працездатністю елементів. Представлена графічна інтперпретація залежності показників безвідмовності самохідних обприскувачів від повноти технічного контролю. Підтверджено існування впливу повноти технічного контролю на показники безвідмовності структур. Розглянутий підхід із подібним аналізом дозволяє обґрунтовано висувати вимоги до характеристик систем технічного контролю самохідних обприскувачів.

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“…Safety violations in mining industry are one of the most dangerous acts with serious consequences, often with a large number of victims. In the literature, the causes, number, dynamics and other indicators of accidents in mines and open pits have been investigated repeatedly [2]. It has been proven that mortality at mining enterprises is an inevitable value that is actually included in the cost of extracted resources [3].…”

Section: Introductionmentioning

confidence: 99%

Specificity of Exemption from Punishment in the Field of Safety Rules Violation in Mining Operations

Terentieva

Наумов

2021

E3S Web Conf.

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The article examines the problem of the courts’ application of exemption from punishment for criminal violations of the safety rules in mining operations. The application practice of exemption from punishment by courts in this category of cases is analyzed. On the basis of the data the authors drew the conclusions about the frequency and chosen measures of application of exemption from punishment. The general features of cases in which exemption from punishment was applied are described, and the personality characteristic of a criminal accused of criminal violations of safety rules in mining operations are considered.

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Accidents in Coal Mining from Perspective of Risk Theory

Cited by 8 publications

References 6 publications

Application of wrapper based hybrid system for classification of risk tolerance in the Indian mining industry

Application of wrapper based hybrid system for classification of risk tolerance in the Indian mining industry

Аналітичні Положення Впливу Повноти Технічного Контролю На Безвідмовність Самохідних Обприскувачів

Specificity of Exemption from Punishment in the Field of Safety Rules Violation in Mining Operations

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