A STAMP-based Causal Analysis of the Beiyou25 Grounding Accident

J. H. Zhang, B. Wu, M. Y. Zhang, T. L. Yip

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


The traditional risk analysis method attributes the accidents to the chain reaction of a single event, which highlights the importance of component errors for the accident consequences. With the increasing integration of social science and technology, information interaction becomes more prominent in system safety. Therefore, the Systems-Theoretic Accident Modelling and Processes (STAMP) is introduced to analysis the complex socio-technical system. It focuses on safety constraints, information interaction and process model, and deeply excavates the functions and impacts among components. The STAMP-based causal analysis is conducted in this paper for hazard identification of navigation safety during Beiwei routes in China. First, lessons are learned by analyzing the latest grounding accident of Beiyou25; Second, the problems existing in ships, wharfs, company and meteorology are thoroughly proposed based on the actual situation of the Beiwei routes to ensure the navigation safety.

Original languageEnglish
Title of host publication2019 Prognostics and System Health Management Conference, PHAI-Qingdao 2019
EditorsWei Guo, Steven Li, Qiang Miao
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728108612
Publication statusPublished - Oct 2019
Event10th Prognostics and System Health Management Conference, PHM-Qingdao 2019 - Qingdao, China
Duration: 25 Oct 201927 Oct 2019

Publication series

Name2019 Prognostics and System Health Management Conference, PHM-Qingdao 2019


Conference10th Prognostics and System Health Management Conference, PHM-Qingdao 2019


  • Process model
  • Safety constraint
  • System safety

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Safety, Risk, Reliability and Quality

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