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This study presents a new time-varying failure rate model for subsea emergency shutdown systems, addressing the limitations of previous models that treated failure rates as constants. By incorporating a statistical-fuzzy model to modify the time-varying failure rate, the research demonstrates that this approach reduces evaluation errors and aligns more closely with real-world engineering applications. The findings confirm that the modified model provides more accurate reliability assessments, particularly i

Author

Sandro Marcos de Gouveia

Language

EN