A novel approach for reliability assessment of residual heat removal system for HPR1000 based on failure mode and effect analysis, fault tree analysis, and fuzzy Bayesian network methods

Research article (Reliability Engineering & System Safety, 2021) · cited 69× · AI/ML
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A novel approach for reliability assessment of residual heat removal system for HPR1000 based on failure mode and effect analysis, fault tree analysis, and fuzzy Bayesian network methods

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A novel approach for reliability assessment of residual heat removal system for HPR1000 based on failure mode and effect analysis, fault tree analysis, and fuzzy Bayesian network methods is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A novel approach for reliability assessment of residual heat removal system for HPR1000 based on failure mode and effect analysis, fault tree analysis, and fuzzy Bayesian network methods. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-approach-for-reliability-assessment-of-residual-heat-removal-system-for-hpr1000-based-on-failure-mode-and-effect
MLA “A novel approach for reliability assessment of residual heat removal system for HPR1000 based on failure mode and effect analysis, fault tree analysis, and fuzzy Bayesian network methods.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-approach-for-reliability-assessment-of-residual-heat-removal-system-for-hpr1000-based-on-failure-mode-and-effect.
BibTeX @misc{4ortxyz_a-novel-approach-for-reliability-assessment-of-residual-heat-removal-system-for-hpr1000-based-on-failure-mode-and-effect_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel approach for reliability assessment of residual heat removal system for HPR1000 based on failure mode and effect analysis, fault tree analysis, and fuzzy Bayesian network methods}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-approach-for-reliability-assessment-of-residual-heat-removal-system-for-hpr1000-based-on-failure-mode-and-effect}, note = {Accessed: 2026-05-24}}
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