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C. X. Guo - One of the best experts on this subject based on the ideXlab platform.

  • Research on Software Implementation of Human Reliability Analysis in Power System
    Applied Mechanics and Materials, 2014
    Co-Authors: Junxi Tang, Yingkai Bao, Peng Jia Shi, Wen Hai Liu, Tai Ping Wang, C. X. Guo
    Abstract:

    Human error has become a serious threat to the power system operation Reliability and safety. As the research of Human Reliability in power system continues, some quantitative methods were proposed for the power operation safety assessment. In this paper, the implementation of a Human Reliability evaluation system for assessing the Human Reliability associated with power system operation is discussed. Firstly, the software architecture of the system is given. Then the detail function design is presented. Practical experiences show that the system could be a useful tool and have an extensive application prospect.

  • A Bayesian network approach for Human Reliability analysis of power system
    2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2013
    Co-Authors: Junxi Tang, Yingkai Bao, Licheng Wang, Yue Wang, C. X. Guo, Jia Liu, Bin Zhou
    Abstract:

    Along with the improvement of equipment Reliability, Human error has become a great threat to the power system Reliability and safety. However, the research of Human Reliability analysis in power system is still in its infancy. There is still little approach for quantitatively measuring the Human Reliability of power system. In this paper, the definition of Human Reliability of power system and a Human error causal framework are given firstly. Secondly, with the suitable Performance Influencing Factors(PIFs) selected, the probability inference model based on Bayesian network for Human Reliability analysis is proposed. Finally, a case study shows that the proposed methodology can integrate organizational factors, situational factors, and individual factors to quantitatively measure the Human Reliability of power system. This approach provides forceful support for improving the Human Reliability of power system and has a good prospect.

  • Analysis of Human Reliability in power system switching operation considering dependency of operators
    2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2013
    Co-Authors: Yingkai Bao, Junxi Tang, Yue Wang, C. X. Guo, Yongbin Jiang
    Abstract:

    The inter dependency between actions of operators is prevalent in power system switching operation, which is necessary to be considered along with restoration when performing Human Reliability analysis. This paper proposes a novel method of Human Reliability analysis to evaluate the Human error probability considering the dependency between operators. Firstly, the concept of Human Reliability in power system and the cognitive Reliability and error analysis method (CREAM) are introduced. Then, through the analysis of power system switching operation, the factors influencing dependency level are identified and the analytical model of dependence is constructed. Based on fuzzy theory and Bayesian network, a method is proposed to quantify the restoration coefficient. Combined with CREAM extension method, the proposed method can be used to evaluate the final Human Reliability.

Junxi Tang - One of the best experts on this subject based on the ideXlab platform.

  • Research on Software Implementation of Human Reliability Analysis in Power System
    Applied Mechanics and Materials, 2014
    Co-Authors: Junxi Tang, Yingkai Bao, Peng Jia Shi, Wen Hai Liu, Tai Ping Wang, C. X. Guo
    Abstract:

    Human error has become a serious threat to the power system operation Reliability and safety. As the research of Human Reliability in power system continues, some quantitative methods were proposed for the power operation safety assessment. In this paper, the implementation of a Human Reliability evaluation system for assessing the Human Reliability associated with power system operation is discussed. Firstly, the software architecture of the system is given. Then the detail function design is presented. Practical experiences show that the system could be a useful tool and have an extensive application prospect.

  • A Bayesian network approach for Human Reliability analysis of power system
    2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2013
    Co-Authors: Junxi Tang, Yingkai Bao, Licheng Wang, Yue Wang, C. X. Guo, Jia Liu, Bin Zhou
    Abstract:

    Along with the improvement of equipment Reliability, Human error has become a great threat to the power system Reliability and safety. However, the research of Human Reliability analysis in power system is still in its infancy. There is still little approach for quantitatively measuring the Human Reliability of power system. In this paper, the definition of Human Reliability of power system and a Human error causal framework are given firstly. Secondly, with the suitable Performance Influencing Factors(PIFs) selected, the probability inference model based on Bayesian network for Human Reliability analysis is proposed. Finally, a case study shows that the proposed methodology can integrate organizational factors, situational factors, and individual factors to quantitatively measure the Human Reliability of power system. This approach provides forceful support for improving the Human Reliability of power system and has a good prospect.

  • Analysis of Human Reliability in power system switching operation considering dependency of operators
    2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2013
    Co-Authors: Yingkai Bao, Junxi Tang, Yue Wang, C. X. Guo, Yongbin Jiang
    Abstract:

    The inter dependency between actions of operators is prevalent in power system switching operation, which is necessary to be considered along with restoration when performing Human Reliability analysis. This paper proposes a novel method of Human Reliability analysis to evaluate the Human error probability considering the dependency between operators. Firstly, the concept of Human Reliability in power system and the cognitive Reliability and error analysis method (CREAM) are introduced. Then, through the analysis of power system switching operation, the factors influencing dependency level are identified and the analytical model of dependence is constructed. Based on fuzzy theory and Bayesian network, a method is proposed to quantify the restoration coefficient. Combined with CREAM extension method, the proposed method can be used to evaluate the final Human Reliability.

Yingkai Bao - One of the best experts on this subject based on the ideXlab platform.

  • Research on Software Implementation of Human Reliability Analysis in Power System
    Applied Mechanics and Materials, 2014
    Co-Authors: Junxi Tang, Yingkai Bao, Peng Jia Shi, Wen Hai Liu, Tai Ping Wang, C. X. Guo
    Abstract:

    Human error has become a serious threat to the power system operation Reliability and safety. As the research of Human Reliability in power system continues, some quantitative methods were proposed for the power operation safety assessment. In this paper, the implementation of a Human Reliability evaluation system for assessing the Human Reliability associated with power system operation is discussed. Firstly, the software architecture of the system is given. Then the detail function design is presented. Practical experiences show that the system could be a useful tool and have an extensive application prospect.

  • A Bayesian network approach for Human Reliability analysis of power system
    2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2013
    Co-Authors: Junxi Tang, Yingkai Bao, Licheng Wang, Yue Wang, C. X. Guo, Jia Liu, Bin Zhou
    Abstract:

    Along with the improvement of equipment Reliability, Human error has become a great threat to the power system Reliability and safety. However, the research of Human Reliability analysis in power system is still in its infancy. There is still little approach for quantitatively measuring the Human Reliability of power system. In this paper, the definition of Human Reliability of power system and a Human error causal framework are given firstly. Secondly, with the suitable Performance Influencing Factors(PIFs) selected, the probability inference model based on Bayesian network for Human Reliability analysis is proposed. Finally, a case study shows that the proposed methodology can integrate organizational factors, situational factors, and individual factors to quantitatively measure the Human Reliability of power system. This approach provides forceful support for improving the Human Reliability of power system and has a good prospect.

  • Analysis of Human Reliability in power system switching operation considering dependency of operators
    2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2013
    Co-Authors: Yingkai Bao, Junxi Tang, Yue Wang, C. X. Guo, Yongbin Jiang
    Abstract:

    The inter dependency between actions of operators is prevalent in power system switching operation, which is necessary to be considered along with restoration when performing Human Reliability analysis. This paper proposes a novel method of Human Reliability analysis to evaluate the Human error probability considering the dependency between operators. Firstly, the concept of Human Reliability in power system and the cognitive Reliability and error analysis method (CREAM) are introduced. Then, through the analysis of power system switching operation, the factors influencing dependency level are identified and the analytical model of dependence is constructed. Based on fuzzy theory and Bayesian network, a method is proposed to quantify the restoration coefficient. Combined with CREAM extension method, the proposed method can be used to evaluate the final Human Reliability.

David I. Gertman - One of the best experts on this subject based on the ideXlab platform.

  • Culture Representation in Human Reliability Analysis
    2006
    Co-Authors: David I. Gertman, Julie L. Marble, Steven Novack
    Abstract:

    Understanding Human-system response is critical to being able to plan and predict mission success in the modern battlespace. Commonly, Human Reliability analysis has been used to predict failures of Human performance in complex, critical systems. However, most Human Reliability methods fail to take culture into account. This paper takes an easily understood state of the art Human Reliability analysis method and extends that method to account for the influence of culture, including acceptance of new technology, upon performance. The cultural parameters used to modify the Human Reliability analysis were determined from two standard industry approaches to cultural assessment: Hofstede’s (1991) cultural factors and Davis’ (1989) technology acceptance model (TAM). The result is called the Culture Adjustment Method (CAM). An example is presented that (1) reviews Human Reliability assessment with and without cultural attributes for a Supervisory Control and Data Acquisition (SCADA) system attack, (2) demonstrates how country specific information can be used to increase the realism of HRA modeling, and (3) discusses the differences in Human error probability estimates arising from cultural differences.

  • Human Reliability and safety analysis data handbook
    1993
    Co-Authors: David I. Gertman, Harold S Blackman
    Abstract:

    Conducting Human Reliability Analysis. Formal Methods for Estimating Human Reliability. HRA Fault and Event Trees. Existing Data Sources and Data Bank. HRA: A Case Study for Nuclear Processing Facility Design. HRA Case Study for a Nuclear Power Plant: Containment Venting Procedure. Relation of HRA to Systems Safety and System Performance. Simulators and Simulation as a Tool for Evaluating Human Reliability. Organizational Factors and Human Reliability. Outstanding Issues. Behavioral Mechanisms Underlying Human Error. The Problem: Representation of Errors of Commission (Cognitive Error) in PRA. HRA and the Impact of Emerging Hardware and Software Technologies. Bibliography. Index.

B.o.y. Lydell - One of the best experts on this subject based on the ideXlab platform.

  • Critique of current Human Reliability analysis methods
    Proceedings of the IEEE 7th Conference on Human Factors and Power Plants, 1
    Co-Authors: A.j. Spurgin, B.o.y. Lydell
    Abstract:

    This paper is a critical review of Human Reliability analysis methods and techniques as applied in current probabilistic safety assessments of nuclear power plants. Practitioners continue to rely on concepts, data and methodologies that have seen relatively little change since the early 1970s, however. The generic Human Reliability data developed for the seminal 1975 Reactor Safety Study is still being used. Using the review insights, the paper develops recommendations for using plant-specific information from operator training and procedure validation in the Human Reliability analysis applications.