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Risk Mitigation Strategy Based on FMEA for Integrated Power Management System: A Case Study Applying Fuzzy Service FMEA

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2025, 11(5), 21
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : September 19, 2025
  • Accepted : October 17, 2025
  • Published : October 31, 2025

Myeong-Gwan Han 1 Lee 2 Kim dong hyun 3

1한국조선해양기자재연구원
2에스엔시스
3국립부경대학교

Accredited

ABSTRACT

This paper presents a fuzzy rule-based FMEA applied to the power management system (PMS) of hybrid vessels to complement the qualitative limitations of conventional FMEA and to reflect the operational context of complex systems. The proposed method extends conventional subjective evaluation into a quantitative model based on fuzzy logic, thereby ensuring the consistency and objectivity of risk assessment. Occurrence, severity, and detectability are modeled as triangular fuzzy numbers(TFNs) on a five-level linguistic scale, and a fuzzy risk-priority number(RPN) is derived through product t-norm inference and centroid defuzzification(Δx = 0.1, output scale [0–100]). In a case study on output short-circuit, input overvoltage, and overheat protection, the fuzzy RPN corrected over- and underestimation versus the traditional RPN(e.g., 84→73.5, 72→66.2, 56 → 58.3). The results demonstrate improved diagnostic accuracy, reproducibility, and general applicability of the proposed approach, which is practical for test/inspection resource allocation, protection-logic retuning, and extensible to weighted RPN(WRPN), FTA coupling, and digital-twin-based online risk management.

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