Volume 26 Issue 1
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WANG Jin-long, MA Yu-xin, BAO Yong-jie, JI Xiu-kun. Application review on FMEA/FMECA in marine engineering[J]. Journal of Traffic and Transportation Engineering, 2026, 26(1): 158-175. doi: 10.19818/j.cnki.1671-1637.2026.057
Citation: WANG Jin-long, MA Yu-xin, BAO Yong-jie, JI Xiu-kun. Application review on FMEA/FMECA in marine engineering[J]. Journal of Traffic and Transportation Engineering, 2026, 26(1): 158-175. doi: 10.19818/j.cnki.1671-1637.2026.057
shu

Application review on FMEA/FMECA in marine engineering

doi: 10.19818/j.cnki.1671-1637.2026.057
  • 1.

    Marine Engineering College, Dalian Maritime University, Dalian 116026, Liaoning, China

  • 2.

    Naval Architecture and Ocean Engineering College, Dalian Maritime University, Dalian 116026, Liaoning, China

Funds:

Doctoral Research Start-up Fund of Liaoning Province 2025-BS-0223

Liaoning Provincial Key Research and Development Program 2025JH2

Liaoning Provincial Key Research and Development Program 102700009

Fundamental Research Fund for the Central Universities 3132023513

National Natural Science Foundation of China 52205515

Smart Eye Action 8DAD1B33

More Information
  • Corresponding author: BAO Yong-jie, professor, PhD, E-mail: yongjie@dlmu.edu.cn
  • Received Date: 2025-06-11
  • Accepted Date: 2025-09-26
  • Rev Recd Date: 2025-08-01
  • Publish Date: 2026-01-28
    Abstract
  • The basic framework of FMEA/FMECA was summarized in detail. The similarities and differences in the implementation methodologies among three major classification societies were concluded, including China, the United States, and Norway. The specific applications and research hotspots of FMEA/FMECA in the fields of modern ships and marine equipment were further elaborated. The existing difficulties and challenges in the application of FMEA/FMECA were also pointed out. The future development trends of FMEA/FMECA were predicted. Research results indicate that this methodology has been widely applied to the failure and risk assessment of ship power systems, electrical and automation systems, critical hydraulic and piping systems, and various types of marine engineering equipment. Research hotspots focus on how to improve the accuracy and objectivity of FMEA/FMECA, particularly by integrating it with the analytic hierarchy process to scientifically determine the weights of parameters within the risk priority number (RPN), using fuzzy set theory to handle uncertainty and subjectivity in the assessment process, and employing deep learning and big data technologies to dynamically predict real-time failure modes. The difficulties and challenges primarily include insufficient analytical capability for complex integrated systems, a lack of high-quality failure data, and the limitations of traditional RPN calculation methods. FMEA will embrace a more intelligent, systematic, and full life cycle-oriented evolution. The first is data-driven intelligent analysis, which involves using digital twin and artificial intelligence technologies to transition from static assessment to dynamic prediction and predictive health management. The second is the adaptive expansion to address new types of risks, so as to address the novel challenges posed by intelligent autonomous ships and green new-energy vessels. Ultimately, FMEA will be deeply integrated into the full life cycle of ships, from design and operation to maintenance, forming an ever-optimizing closed-loop risk management system.

     

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