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

ZHAN Jinhao; LI Weibo; LI Qi; ZOU Zhenjie; SUN Wanfeng

doi:10.19693/j.issn.1673-3185.02285

Volume 17 Issue 1

Mar. 2022

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Article Navigation > Chinese Journal of Ship Research > 2022 > 17(1): 176-186

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

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

doi: 10.19693/j.issn.1673-3185.02285

School of Automation, Wuhan University of Technology, Wuhan 430070, China

Received Date: 2021-01-31
Rev Recd Date: 2021-04-15

Available Online: 2022-02-26

Publish Date: 2022-03-02

Abstract

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.

Abstract

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.
- ship power system,
- pseudo time-series algorithm,
- configuration software,
- risk level,
- proportional compensation.

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References

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