Abstract
Is EOM behavior a stochastic process? If it is, does this randomness come with certain conditions? Are there some environmental factors playing a role? Does the failure of EOMs can be expressed by a probability number? How should HRA consider EOM in a framework of PSA? Through the experiments on a DCS simulator of a nuclear power plant, the researchers tried to come up answers to the above issues. The research results show that the EOM behavior of nuclear power plant is random no considering the influence factors, while in the case of data groupings, EOM behavior is not completely random. Some factors, such as age, training time and working hours, have a certain influence on the randomness of EOM behavior, which also provides direction for reducing human error. Of course, due to the limitations of the experimental conditions, the correctness of the conclusion remains to be further verified.
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Acknowledgments
The financial support by the National Natural Science Foundation of China (No. 51674145, 71771084), Postdoctoral Science Foundation of China (No. 2016M600633), Natural Science Foundation of Hunan Province (No. 2017JJ2222), Humanities and Social Science Projects of Ministry of Education (No. 11YJC630207) and Social Science Projects of Hunan Province (No. 16YBA314) are gratefully acknowledged.
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Chen, J., Zuo, G., Dai, L. (2019). Study on the Randomness of EOM Behavior in a Nuclear Power Plant. In: Boring, R. (eds) Advances in Human Error, Reliability, Resilience, and Performance. AHFE 2018. Advances in Intelligent Systems and Computing, vol 778. Springer, Cham. https://doi.org/10.1007/978-3-319-94391-6_30
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DOI: https://doi.org/10.1007/978-3-319-94391-6_30
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