The Experts below are selected from a list of 6678 Experts worldwide ranked by ideXlab platform
Xiaoxiang Zhou - One of the best experts on this subject based on the ideXlab platform.
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risk assessment of the unsafe behaviours of humans in fatal Gas Explosion accidents in china s underground coal mines
Journal of Cleaner Production, 2019Co-Authors: Xianfei Meng, Xiaoxiang ZhouAbstract:Abstracts Among the potential accidents that can lead to fatal injuries in underground coal mines, Gas Explosion accidents have been recognized as the leading threat to miners' safety in China. Moreover, such accidents are triggered predominantly by human-related hazards, namely, the unsafe behaviours of humans. In underground coal mines, there are a considerable number of unsafe behaviours that can trigger Gas Explosion accidents. Consequently, how to determine scientifically the risk management priority of human unsafe behaviour is the basis of pre-controlling Gas Explosion accidents effectively. Therefore, the method of assessing the risk value of unsafe behaviour is proposed based on the analysis of its characteristics, and then a risk assessment model is constructed. Under this framework, the risk assessment model is composed of probability, importance degree, and loss, and the risk value is the product of the three. Furthermore, the probability and importance degree can be obtained by assessing the degree of unreliability of unsafe behaviour and analysing the degree of influence in the fault tree using the Boolean algebra algorithm, respectively. Finally, according to the risk values, the priority for controlling unsafe behaviours can be obtained to provide a theoretical basis for the effective control of Gas Explosion accidents.
Min Li - One of the best experts on this subject based on the ideXlab platform.
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risk assessment of Gas Explosion in coal mines based on fuzzy ahp and bayesian network
Process Safety and Environmental Protection, 2020Co-Authors: Hetang Wang, Zhenlu Shao, Deming Wang, Min Li, Shan HeAbstract:Abstract Gas Explosion is one of the most deadly hazards in underground coal mining. Risk assessment has played an effective role in avoiding Gas Explosions and revising coal mine regulations. However, the traditional methods are deficient in quantitative evaluation, dynamic control and dealing with uncertainty. In this paper, a method of quantitative assessment the risk of Gas Explosion in underground coal mine using Bayesian network was proposed. A fuzzy analytic hierarchy process (FAHP) method based on subjective and objective information of experts was developed in the process of fuzzification. Through the Bayesian inference, the probability of occurrence of potential risk events and the probability distribution of risk factors can be calculated in real time according to on prior knowledge and evidence updating. Meanwhile, the most likely potential causes of accidents can be determined. A sensitivity analysis technique was utilized to investigate the contribution rate of each risk factor to a risk event, so as to determine the most critical risk factor. Taking Babao Coal Mine in China as the case, this study conducted a Gas Explosion risk assessment. The results show that the mothed of fuzzy AHP and Bayesian Network is feasible and applicable. It can be used as a decision-making tool to prevent coal mine Gas Explosions and provide decision makers with a technical guide for managing the coal mine Gas Explosion risk.
Lei Zhao - One of the best experts on this subject based on the ideXlab platform.
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causation analysis of risk coupling of Gas Explosion accident in chinese underground coal mines
Risk Analysis, 2019Co-Authors: Jinjia Zhang, Kaili Xu, Beibei Wang, Lei ZhaoAbstract:: The coal mine production industry is a complex sociotechnical system with interactive relationships among several risk factors. Currently, causation analysis of Gas Explosion accidents is mainly focused on the aspects of human error and equipment fault, while neglecting the interactive relationships among risk factors. A new method is proposed through risk coupling. First, the meaning of risk coupling of a Gas Explosion is defined, and types of risk coupling are classified. Next, the coupled relationship and coupled effects among risk factors are explored through combining the interpretative structural modeling (ISM) and the NK model. Twenty-eight representative risk factors and 16 coupled types of risk factors are obtained through analysis of 332 Gas Explosion accidents in coal mines in China. Through the application of the combined ISM-NK model, an eight-level hierarchical model of risk coupling of a Gas Explosion accident is established, and the coupled degrees of different types of risk coupling are assessed. The hierarchical model reveals that two of the 28 risk factors, such as state policies, laws, and regulations, are the root risk factors for Gas Explosions; nine of the 28 risk factors, such as flame from blasting, electric spark, and local Gas accumulation, are direct causes of Gas Explosions; whereas 17 of the risk factors, such as three-violation actions, ventilation system, and safety management, are indirect ones. A quantitative analysis of the NK model shows that the probability of Gas Explosion increases with the increasing number of risk factors. Compared with subjective risk factors, objective risk factors have a higher probability of causing Gas Explosion because of risk coupling.
Xianfei Meng - One of the best experts on this subject based on the ideXlab platform.
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risk assessment of the unsafe behaviours of humans in fatal Gas Explosion accidents in china s underground coal mines
Journal of Cleaner Production, 2019Co-Authors: Xianfei Meng, Xiaoxiang ZhouAbstract:Abstracts Among the potential accidents that can lead to fatal injuries in underground coal mines, Gas Explosion accidents have been recognized as the leading threat to miners' safety in China. Moreover, such accidents are triggered predominantly by human-related hazards, namely, the unsafe behaviours of humans. In underground coal mines, there are a considerable number of unsafe behaviours that can trigger Gas Explosion accidents. Consequently, how to determine scientifically the risk management priority of human unsafe behaviour is the basis of pre-controlling Gas Explosion accidents effectively. Therefore, the method of assessing the risk value of unsafe behaviour is proposed based on the analysis of its characteristics, and then a risk assessment model is constructed. Under this framework, the risk assessment model is composed of probability, importance degree, and loss, and the risk value is the product of the three. Furthermore, the probability and importance degree can be obtained by assessing the degree of unreliability of unsafe behaviour and analysing the degree of influence in the fault tree using the Boolean algebra algorithm, respectively. Finally, according to the risk values, the priority for controlling unsafe behaviours can be obtained to provide a theoretical basis for the effective control of Gas Explosion accidents.
Shan He - One of the best experts on this subject based on the ideXlab platform.
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risk assessment of Gas Explosion in coal mines based on fuzzy ahp and bayesian network
Process Safety and Environmental Protection, 2020Co-Authors: Hetang Wang, Zhenlu Shao, Deming Wang, Min Li, Shan HeAbstract:Abstract Gas Explosion is one of the most deadly hazards in underground coal mining. Risk assessment has played an effective role in avoiding Gas Explosions and revising coal mine regulations. However, the traditional methods are deficient in quantitative evaluation, dynamic control and dealing with uncertainty. In this paper, a method of quantitative assessment the risk of Gas Explosion in underground coal mine using Bayesian network was proposed. A fuzzy analytic hierarchy process (FAHP) method based on subjective and objective information of experts was developed in the process of fuzzification. Through the Bayesian inference, the probability of occurrence of potential risk events and the probability distribution of risk factors can be calculated in real time according to on prior knowledge and evidence updating. Meanwhile, the most likely potential causes of accidents can be determined. A sensitivity analysis technique was utilized to investigate the contribution rate of each risk factor to a risk event, so as to determine the most critical risk factor. Taking Babao Coal Mine in China as the case, this study conducted a Gas Explosion risk assessment. The results show that the mothed of fuzzy AHP and Bayesian Network is feasible and applicable. It can be used as a decision-making tool to prevent coal mine Gas Explosions and provide decision makers with a technical guide for managing the coal mine Gas Explosion risk.
