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首页> 外文期刊>Journal of loss prevention in the process industries >A neuro-fuzzy algorithm for assessment of health, safety, environment and ergonomics in a large petrochemical plant
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A neuro-fuzzy algorithm for assessment of health, safety, environment and ergonomics in a large petrochemical plant

机译:一种神经模糊算法,用于评估大型石化厂的健康,安全,环境和人体工程学

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Process plants such as petrochemical units have been continuously trying to. improve Health, Safety, Environment and Ergonomics (HSEE) programs. This study proposes an adaptive network-based fuzzy inference system (ANFIS) for assessment of HSEE programs in a petrochemical plant. The proposed neuro-fuzzy approach is applied to a set of operators in the petrochemical unit to show its applicability and superiority. To achieve the objectives of this study, standard questionnaires with respect to HSEE are completed by operators. The average results for each category of HSEE are used as inputs and accomplishment of HSEE programs is used as output for the algorithm. Moreover, this algorithm is used to rank operators performance with respect to HSEE. Finally, the algorithm identifies efficient operators with respect to HSEE. This is the first study that introduces an intelligence algorithm for assessment and improvement of HSEE program in a petrochemical plant. (C) 2015 Elsevier Ltd. All rights reserved.
机译:石油化工等加工厂一直在不断尝试。改善健康,安全,环境和人体工程学(HSEE)计划。这项研究提出了一个基于自适应网络的模糊推理系统(ANFIS),用于评估石化厂的HSEE程序。所提出的神经模糊方法被应用于石化部门的一组操作员,以显示其适用性和优越性。为了实现本研究的目的,运营商应填写有关HSEE的标准问卷。 HSEE的每个类别的平均结果用作输入,HSEE程序的完成情况用作算法的输出。此外,此算法用于对HSEE的操作员性能进行排名。最后,该算法针对HSEE识别了有效的算子。这是第一项引入智能算法以评估和改进石化工厂HSEE程序的研究。 (C)2015 Elsevier Ltd.保留所有权利。

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