Dynamic Safety Margin Analysis Method Based on Mean Shift Clustering

Binfu Xiong; He Wang; Xinyue Wang; KUANG Huiwen; Qiang Zhao

doi:10.1299/jsmeicone.2023.30.1784

2023.30

Session ID : 1784

DOI https://doi.org/10.1299/jsmeicone.2023.30.1784

Conference information

Host: The Japan Society of Mechanical Engineers

Name : The 30th International Conference on Nuclear Engineering (ICONE30)

Date : May 21, 2023 - May 26, 2023

Dynamic Safety Margin Analysis Method Based on Mean Shift Clustering

Binfu Xiong, He Wang, Xinyue Wang, KUANG Huiwen, Qiang Zhao

Author information

Keywords: RISMC, mean-shift, DET, SGTR

CONFERENCE PROCEEDINGS RESTRICTED ACCESS

Details

Abstract

risk. In order to achieve these goals, this paper proposes a method to identify and group scenarios generated by system dynamic safety analysis based on mean-shift clustering. Taking SGTR accidents as a case, the accident scenarios are generated by the dynamic event tree method and combined with the accident analysis software; the scenarios are classified through the information of the final state of the system and process variables, and the main features are extracted for each category.

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