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August 12, 2025Engineering ReportsOpen Access

Risk Analysis Under Uncertainty, Subjectivity, and Incomplete Knowledge: With a Use Case of Energy System Failures

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Authors

AAAli Aghazadeh ArdebiliMPMahdad PourmadadkarEPElio Padoano

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Overview

Fuzzy-rough FMEA improves risk prioritization in energy systems, suggesting a more reliable analysis approach.

Key Points

  • Fuzzy-rough FMEA develops a more effective way to address uncertainty in gas turbine risk analysis, enhancing reliability.
  • The application of fuzzy-rough FMEA led to clearer rankings among high-risk components in gas turbines, improving maintenance strategies.
  • This analysis utilized fuzzy logic alongside rough set theory to better manage incomplete knowledge and ambiguity in fault detection.
  • Findings indicate that critical components such as fuel nozzles and combustion chambers require priority attention for design optimization.

Cite This Study

Ardebili et al. (2025) studied this question.

synapsesocial.com/papers/68a360f20a429f7973329ab4https://doi.org/10.1002/eng2.70286
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