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Towards an analysis framework for operational risk coupling mode : A case from MASS navigating in restricted waters

  • Cunlong Fan
  • , Jakub Montewka
  • , Victor Bolbot
  • , Yang Zhang
  • , Yuhui Qiu
  • , Shenping Hu*
  • *Tämän työn vastaava kirjoittaja

Tutkimustuotos: LehtiartikkeliArticleScientificvertaisarvioitu

29 Sitaatiot (Scopus)
3 Lataukset (Pure)

Abstrakti

Maritime Autonomous Surface Ships (MASSs) constitute highly interconnected and tightly coupled multistate systems. Incorporating the coupling effects of both interactions and dependencies is centrally important to ensure navigation safety of MASSs. This paper proposes a framework for examining the coupling effects in the operational modes (OM) of MASSs. Failure Modes (FMs) of MASSs related to interactions with the environment and subsystems are identified using 24Model developed based on conventional ship accidents involving grounding in the west of Shenzhen port, China. FMs related to grounding are classified into the five risk types of human, organization, ship, environment, and technology, considering three OMs (states), i.e., manual control, remote control, and autonomous control. Based on this classification, the N-K model is applied to calculate the risk coupling values of scenarios involving multiple risk types. These scenarios are then ranked by the risk coupling values of the three OMs, and values are compared among different OMs. The results indicate that for grounding in the west of Shenzhen port most risk coupling values increase with increasing risk type diversity. Furthermore, the risk coupling mechanism in remote control differs significantly from that in manual control and autonomous control, thus risk management of MASS OMs should vary.

AlkuperäiskieliEnglanti
Artikkeli110176
Sivumäärä18
JulkaisuReliability Engineering and System Safety
Vuosikerta248
DOI - pysyväislinkit
TilaJulkaistu - elok. 2024
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Rahoitus

This work is supported by funding from the National Key Research and Development Program of China (Grant No. 2021YFC2801005), and the National Natural Science Foundation of China (Grant No. 52301419, 52372416), Fund of National Engineering Research Center for Water Transport Safety (Grant No. A202404). The third author acknowledges the funding received from ECAMARIS project, funded by the Business of Finland, under research grant number 20200030. The views expressed remain solely those of the authors.

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