Chinese Journal of Ship Research, Volume. 17, Issue 1, 176(2022)

Ship power risk assessment system based on proportional pseudo time-series algorithm

Jinhao ZHAN, Weibo LI, Qi LI, Zhenjie ZOU, and Wanfeng SUN
Author Affiliations
  • School of Automation, Wuhan University of Technology, Wuhan 430070, China
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    Figures & Tables(17)
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    • Table 1. Comparative analysis of pseudo time-series algorithms

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      Table 1. Comparative analysis of pseudo time-series algorithms

      算法名称特点
      传统伪时序算法反映电力系统状态变化的时序特点,筛选出某一状态变化过程的状态量,根据所需要的状态量建立集合
      改进伪时序算法在伪时序算法的基础上,优化了状态选取过程,忽略了低重要度的状态变化,从而提高算法效率
    • Table 2. Proportional compensation coefficient

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      Table 2. Proportional compensation coefficient

      参数补偿系数
      6台电机5台电机4台电机3台电机2台电机1台电机
      电压/V10.117 60.170.0810.013 70.064 0
      功率/kW10.150.2090.1030.031 50.110 9
      频率/Hz10.225 70.365 20.2130.075 90.129 8
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    Jinhao ZHAN, Weibo LI, Qi LI, Zhenjie ZOU, Wanfeng SUN. Ship power risk assessment system based on proportional pseudo time-series algorithm[J]. Chinese Journal of Ship Research, 2022, 17(1): 176

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    Paper Information

    Category: Marine Machinery, Electrical Equipment and Automation

    Received: Jan. 31, 2021

    Accepted: --

    Published Online: Mar. 24, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.02285

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