Volume 17 Issue 1
Mar.  2022
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ZHAN J H, LI W B, LI Q, et al. Ship power risk assessment system based on proportional pseudo time-series algorithm[J]. Chinese Journal of Ship Research, 2022, 17(1): 176–186 doi: 10.19693/j.issn.1673-3185.02285
Citation: ZHAN J H, LI W B, LI Q, et al. Ship power risk assessment system based on proportional pseudo time-series algorithm[J]. Chinese Journal of Ship Research, 2022, 17(1): 176–186 doi: 10.19693/j.issn.1673-3185.02285

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

doi: 10.19693/j.issn.1673-3185.02285
  • Received Date: 2021-01-31
  • Rev Recd Date: 2021-04-15
  • Available Online: 2022-02-26
  • Publish Date: 2022-03-02
    © 2022 The Authors. Published by Editorial Office of Chinese Journal of Ship Research. Creative Commons License
    This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  •   Objectives  In order to improve the safety and stability of a ship's power system, a risk assessment system based on a proportional pseudo time-series algorithm is proposed.   Methods  An improved pseudo time-series algorithm is introduced into the ship's power system to assign values to power analog quantities such as voltage, power and frequency, which can be visually monitored through the configuration interface; the risk assessment of the overall power system is then conducted. At the same time, in response to changes in system topology under different working conditions, the algorithm is adjusted by introducing proportional compensation coefficients to improve the accuracy of risk level assessment.  Results  The actual test results show that this system can not only monitor the physical quantities of electric power in real time, but also accurately assess the risk status and level of the system.  Conclusions  The results of this study can provide references for the design of ship electric power risk assessment systems.
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