At present, Experience Feedback Systems have been established in all currently operating and under construction nuclear power plants, and as such, a large number of low-level events have been collected. Due to human a...
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ISBN:
(纸本)9781728165974
At present, Experience Feedback Systems have been established in all currently operating and under construction nuclear power plants, and as such, a large number of low-level events have been collected. Due to human and material constraints, these low-level events have not been well utilized. The main problem is that the number of low-level events is so large that it is impossible to code all events manually. In this paper, through the use of seven classification learning algorithms, automaticcoding research on low-level events of nuclear power plants is carried out to demonstrate the feasibility of applying a classification learning algorithm to the field of nuclear power text processing. This paper first introduces low-level events in nuclear power plants, low-level event trend coding, and the classification algorithms based on machine learning and deep learning used in this study. Then, comparative experiments are designed and the results of the experiments are analyzed in detail. Finally, based on the results of this study, suggestions for the use of artificial intelligence in the field of nuclear power text processing are proposed. This study provides a reference for the application of machine learning in the field of nuclear power texts processing.
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