• 제목/요약/키워드: human error model

검색결과 366건 처리시간 0.027초

선박의 비상대응훈련 개선을 위한 HSTPA 모델에 관한 연구 (A Study on HSTPA Model for Improvement of Emergency Response Training for Ships)

  • 한기영;정진기;안영중
    • 해양환경안전학회지
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    • 제25권4호
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    • pp.441-447
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    • 2019
  • 해사안전을 위한 비상대응훈련 및 해기교육기관의 안전교육은 정해진 시나리오와 교육내용을 기반으로 실시되기 때문에, 다양한 상황에 따른 인적오류 감소와 대응에는 한계가 있다. 이에 대한 개선 필요성이 요구되고 있으나, 기존 교육훈련에 대한 평가와 상황의 다양성 확보를 통한 대응능력 향상을 위한 방안은 부재하다. 본 연구는 비상대응훈련 개선을 위해 상황 다변성을 모델링할 수 있는 이론적 절차 분석기법을 제안한다. 선원과 시스템의 유기적 관계에 기반한 인적 및 시스템 이론적 절차 분석 모델(HSTPA)을 정의하고, 각 구성요소들이 발생시킬 수 있는 오류를 분석, 수직적 보고체계와 대응이 요구되는 화재대응 훈련 시나리오에 이를 적용하여 기존 훈련의 한계점을 식별하였다. 제안된 HSTPA 모델을 적용한 훈련 시나리오 고려요소의 세분화 및 점검은 비상대응훈련 및 교육에 있어 다양하고 현실적인 시나리오 생성과 피훈련자들의 상황판단 이해력 및 대응능력 향상에 도움이 될 것으로 판단된다.

Neural Networks Based Identification and Control of a Large Flexible Antenna

  • Sasaki, Minoru;Murase, Takuya;Ukita, Nobuharu
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.1711-1716
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    • 2004
  • This paper presents identification and control of a 10-m antenna via accelerometers and angle encoder data. Artificial Neural Networks can be used effectively for the identification and control of nonlinear dynamical system such as a large flexible antenna. Some identification results are shown and compared with the results of conventional prediction error method. And we use a neural network inverse model for control the large flexible antenna. In the neural network inverse model, a neural network is trained, using supervised learning, to develop an inverse model of the antenna. The network input is the process output, and the network output is the corresponding process input. The control results show the validation of the ANN approach for identification and control of the 10-m flexible antenna.

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New method for dependence assessment in human reliability analysis based on linguistic hesitant fuzzy information

  • Zhang, Ling;Zhu, Yu-Jie;Hou, Lin-Xiu;Liu, Hu-Chen
    • Nuclear Engineering and Technology
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    • 제53권11호
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    • pp.3675-3684
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    • 2021
  • Human reliability analysis (HRA) is a proactive approach to model and evaluate human systematic errors, and has been extensively applied in various complicated systems. Dependence assessment among human errors plays a key role in the HRA, which relies heavily on the knowledge and experience of experts in real-world cases. Moreover, there are ofthen different types of uncertainty when experts use linguistic labels to evaluate the dependencies between human failure events. In this context, this paper aims to develop a new method based on linguistic hesitant fuzzy sets and the technique for human error rate prediction (THERP) technique to manage the dependence in HRA. This method handles the linguistic assessments given by experts according to the linguistic hesitant fuzzy sets, determines the weights of influential factors by an extended best-worst method, and confirms the degree of dependence between successive actions based on the THERP method. Finally, the effectiveness and practicality of the presented linguistic hesitant fuzzy THERP method are demonstrated through an empirical healthcare dependence analysis.

인간-기계시스템의 최적관리를 위한 정보이론적 접근 (Informative Approach for Optimal Control Policy of Man-Machine System)

  • 이태희
    • 산업경영시스템학회지
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    • 제19권37호
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    • pp.63-70
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    • 1996
  • This paper presents a model which may be used in optimal control of the Man-Machine systems in the aspect of information transmission. For this, we divided information into human parts and machine parts, and consider minimum error principle as a machine operating logic. Furthermore, we take the maximum information principle as a human information operating logic. This can be done in considering the Fisher Information and its transformed type, information inequality.

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인체모형을 이용한 감전사고 모의와 프로그램 분석 (The Simulation of Electric Shock Fault and Program Analysis using a Human-body Model)

  • 장태준;정연하;노영수;곽희로
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 추계학술대회 논문집 전기물성,응용부문
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    • pp.126-128
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    • 2004
  • 본 연구에서는 인체모형을 이용하여 감전사고를 모의하고, 프로그램을 이용하여 해석하였다. 그리고 실험결과를 국내 감전사고자의 통계자료와 비교하였다. 향후 더 많은 사고모델에 대한 자료를 축적하면 감전사고 메커니즘을 체계적이고 정량적으로 입증할 수 있고, 이것은 관리자의 전기설비 이용요령, 사용자의 휴먼에러(human error)를 최소화할 수 있는 자료로 활용될 수 있을 것으로 기대된다.

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인간의 숙연과정에 관한 고찰 (A Modeling of Human Aquisition Process)

  • 이철영;류대근
    • 한국항해학회지
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    • 제6권2호
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    • pp.57-63
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    • 1982
  • This paper deals with a mathematical model which explains process of aquisition or skillfulness of human. Especially, in the case of determinating a ship's position, a degree of aquisitiion or skillfulness has a significant meaning in the view point of reliability of a data because it is closely connected with the position error. In this paper, the authors have obtained the following mathematical model, who analyzed quantitavely the data obtained by a process of measuring the horizontal sextant angles and extracted the factors or parameters affecting the process of aquisition or skillfulness of human. Namely, $H=Me^{-iN}$ M : the coefficiency which represent the degree of difficulty in measuring the object i : personal parameter N : the number of measurements

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로봇시스템에서 휴먼에러를 고려한 마코프모형 (Morkov Model of Robot System With Human Error)

  • 최성운
    • 대한안전경영과학회:학술대회논문집
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    • 대한안전경영과학회 2000년도 추계학술발표논문집
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    • pp.281-286
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    • 2000
  • 최근 자동화생산 및 장치산업에서 로봇시스템의 사용이 증가하고 있다. 그러나 로봇 오퍼레이터, 프로그래머, 공무요원 등 간의 커뮤니케이션 부족으로 휴먼에러가 발생하여 사람의 안전재해사고 뿐 아니라 로봇시스템 가동율에서도 나뱉 영향을 주고 있다. 따라서 본 연구에서는 여유컴포넌트 마코프모형을 기초로 휴먼에러를 고려한 마코프모형을 제안한다.

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A plant-specific HRA sensitivity analysis considering dynamic operator actions and accident management actions

  • Kancev, Dusko
    • Nuclear Engineering and Technology
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    • 제52권9호
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    • pp.1983-1989
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    • 2020
  • The human reliability analysis is a method by which, in general terms, the human impact to the safety and risk of a nuclear power plant operation can be modelled, quantified and analysed. It is an indispensable element of the PSA process within the nuclear industry nowadays. The paper herein presents a sensitivity study of the human reliability analysis performed on a real nuclear power plant-specific probabilistic safety assessment model. The analysis is performed on a pre-selected set of post-initiator operator actions. The purpose of the study is to investigate the impact of these operator actions on the plant risk by altering their corresponding human error probabilities in a wide spectrum. The results direct the fact that the future effort should be focused on maintaining the current human reliability level, i.e. not letting it worsen, rather than improving it.

Experiment design and human reliability in software quality control system

  • Park, Peom
    • 품질경영학회지
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    • 제20권2호
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    • pp.94-108
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    • 1992
  • This study involves an experiment for the cognitive experiment design and the human reliability in software engineering. Its overall objectives are to analyze common-cause human domain error and reliability in human-software interaction. A laboratory study was performed to analyze software engineers' task behavior in software production and to identify software design factors contributing to the effects in common cause failure redundancy. Common-cause model and its function were developed, then the main experiment using programming experts was conducted in order to define a new cognitive paradigm, in the aspects of identification, pattern recognition, and behavior domain for human reliability and quality control in software development. The results and analytical procedures developed in this research can be applied to reliability improvement and cost reduction in software development for many applications. Results are also expected to provide guidelines for software engineering quality control and for more effective design of human-software interface system.

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SEM-based study on the impact of safety culture on unsafe behaviors in Chinese nuclear power plants

  • Licao Dai;Li Ma;Meihui Zhang;Ziyi Liang
    • Nuclear Engineering and Technology
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    • 제55권10호
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    • pp.3628-3638
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    • 2023
  • This paper uses 135 Licensed Operator Event Reports (LOER) from Chinese nuclear plants to analyze how safety culture affects unsafe behaviors in nuclear power plants. On the basis of a modified human factors analysis and classification system (HFACS) framework, structural equation model (SEM) is used to explore the relationship between latent variables at various levels. Correlation tests such as chi-square test are used to analyze the path from safety culture to unsafe behaviors. The role of latent error is clarified. The results show that the ratio of latent errors to active errors is 3.4:1. The key path linking safety culture weaknesses to unsafe behaviors is Organizational Processes → Inadequate Supervision → Physical/Technical Environment → Skill-based Errors. The most influential factors on the latent variables at each level in the HFACS framework are Organizational Processes, Inadequate Supervision, Physical Environment, and Skill-based Errors.