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Polish Maritime Research

The Journal of Gdansk University of Technology

4 Issues per year


IMPACT FACTOR 2016: 0.776

CiteScore 2016: 0.98

SCImago Journal Rank (SJR) 2015: 0.317
Source Normalized Impact per Paper (SNIP) 2015: 1.050

Open Access
Online
ISSN
2083-7429
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Volume 23, Issue 3 (Sep 2016)

Issues

Fault Risk Assessment of Underwater Vehicle Steering System Based on Virtual Prototyping and Monte Carlo Simulation

Ph.D. Deyu He
  • Corresponding author
  • Laboratory of Science and Technology on Integrated Logistics Support National University of Defense Technology Changsha 410073, China
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  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Prof. Niaoqing Hu
  • Laboratory of Science and Technology on Integrated Logistics Support National University of Defense Technology Changsha 410073, China
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  • De Gruyter OnlineGoogle Scholar
/ Ph.D. Lei Hu
  • Laboratory of Science and Technology on Integrated Logistics Support National University of Defense Technology Changsha 410073, China
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Ph.D. Ling Chen
  • Laboratory of Science and Technology on Integrated Logistics Support National University of Defense Technology Changsha 410073, China
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Ph.D. YiPing Guo / Ph.D. Shaoshan Chen
Published Online: 2016-10-20 | DOI: https://doi.org/10.1515/pomr-2016-0038

Abstract

Assessing the risks of steering system faults in underwater vehicles is a human-machine-environment (HME) systematic safety field that studies faults in the steering system itself, the driver’s human reliability (HR) and various environmental conditions. This paper proposed a fault risk assessment method for an underwater vehicle steering system based on virtual prototyping and Monte Carlo simulation. A virtual steering system prototype was established and validated to rectify a lack of historic fault data. Fault injection and simulation were conducted to acquire fault simulation data. A Monte Carlo simulation was adopted that integrated randomness due to the human operator and environment. Randomness and uncertainty of the human, machine and environment were integrated in the method to obtain a probabilistic risk indicator. To verify the proposed method, a case of stuck rudder fault (SRF) risk assessment was studied. This method may provide a novel solution for fault risk assessment of a vehicle or other general HME system.

Keywords: fault risk assessment; underwater vehicle; virtual prototyping; Monte Carlo simulation; steering system; fault simulation

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About the article

Published Online: 2016-10-20

Published in Print: 2016-09-01


Citation Information: Polish Maritime Research, ISSN (Online) 2083-7429, DOI: https://doi.org/10.1515/pomr-2016-0038.

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© 2016. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

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