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Information Journal Paper

Title

Identification and Evaluation of Fault in Human-Machine Interactive System using CREAM Technique and Fault Tree Analysis

Pages

  84-103

Abstract

 Background and Objectives: Despite contribution to catastrophic accidents, human errors have been generally ignored in the design of human-machine (HM) systems and the determination of the level of automation (LOA). This paper aims to develop a method to estimate the level of automation in the early stage of the design phase considering both human and machine performance. Methods: A quantitative method is used to evaluate the performance of the whole human-machine system by the human-in-the-loop fault tree analysis while a qualitative and cross-sectional method is used to estimate human errors using the CREAM technique. The data are collected from real cases happened in the control room of the Ferdowsi power plant. Results: Full automatic option with an average error of 0. 013 had the lowest error rate, i. e. 1/8 of the error rate of the manual design. In addition, the CREAM analysis showed that the control room operators were not satisfied with the availability of procedures and Man-Machine Interface and operational support in general. Thus, on average, the reliability of the manual design is less than the reliability of the automatic setting. Conclusion: High machine reliability has led to the fact that the fully automatic design would be one of the best design choices for human-machine systems. However, based on the previous studies, high automation may have some humanout-of-the-loop shortcomings. Thus, this study proposed solutions to overcome these disadvantages based on the importance of the control parameters or the essence of human involvement in some decision-making and execution tasks.

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    • Cite

    APA: Copy

    Atashfesha, Nooshin, SAIDI MEHRABAD, MOHAMMAD, & RAZAVI, HAMIDEH. (2021). Identification and Evaluation of Fault in Human-Machine Interactive System using CREAM Technique and Fault Tree Analysis. JOURNAL OF ERGONOMICS, 9(3 ), 84-103. SID. https://sid.ir/paper/952129/en

    Vancouver: Copy

    Atashfesha Nooshin, SAIDI MEHRABAD MOHAMMAD, RAZAVI HAMIDEH. Identification and Evaluation of Fault in Human-Machine Interactive System using CREAM Technique and Fault Tree Analysis. JOURNAL OF ERGONOMICS[Internet]. 2021;9(3 ):84-103. Available from: https://sid.ir/paper/952129/en

    IEEE: Copy

    Nooshin Atashfesha, MOHAMMAD SAIDI MEHRABAD, and HAMIDEH RAZAVI, “Identification and Evaluation of Fault in Human-Machine Interactive System using CREAM Technique and Fault Tree Analysis,” JOURNAL OF ERGONOMICS, vol. 9, no. 3 , pp. 84–103, 2021, [Online]. Available: https://sid.ir/paper/952129/en

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