As the high-speed railway business in China develops rapidly, the safety and reliability requirements for high-speed railways are becoming higher and higher. For a high-speed railway system with a high degree of complexity, it is crucial to ensure the safe operation of the system from a risk management perspective by identifying potential accident hazards based on the collected risk source information and taking preventive measures in advance. This requires analysis of on-site incident and maintenance data to uncover correlations between sources of risk. Most of this data is recorded as textual data, in which there are many omissions, under-recording and multiple meanings of words. Although many relevant standard documents have been issued for different systems, there is a lack of a standardization management system for text data to achieve integrated management of risk source information for high-speed railway systems. This paper provides an overview of the key technologies that need to be applied in the standardization management of high-speed railway text data, and proposes a risk information management framework based on text information mining.


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    Titel :

    A Review of Research into the Standardization of High-Speed Railway Text Operation and Maintenance Data


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Yang, Jianwei (Herausgeber:in) / Yao, Dechen (Herausgeber:in) / Jia, Limin (Herausgeber:in) / Qin, Yong (Herausgeber:in) / Liu, Zhigang (Herausgeber:in) / Diao, Lijun (Herausgeber:in) / Tian, Shirun (Autor:in) / Yan, Fei (Autor:in)

    Kongress:

    International Conference on Electrical and Information Technologies for Rail Transportation ; 2023 ; Beijing, China October 19, 2023 - October 21, 2023



    Erscheinungsdatum :

    09.01.2024


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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