A fuzzy cost driven framework for reliability allocation and redundancy analysis: a case study on a multi train evaporation system
Papers|更新时间:2026-04-14
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A fuzzy cost driven framework for reliability allocation and redundancy analysis: a case study on a multi train evaporation system
模糊成本驱动的可靠性分配与冗余分析框架:以多列蒸发系统为例
Journal of Reliability Science and EngineeringVol. 2, Issue 1, Pages: 1-20(2026)
作者机构:
Engineering, Rio Tinto Group, Charlotte, NC, United States of America
作者简介:
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"Mohammad Rahman serves as a Global Reliability Engineer at Rio Tinto Group, USA. He specializes in industrial system reliability, probabilistic risk assessment, and maintenance optimization. His work focuses on applying data-driven decision-support methods to enhance the availability and performance of complex process systems. He has led numerous reliability initiatives across the chemical, power, and nuclear industries, with emphasis on failuremode analysis, reliability-centered maintenance (RCM), and asset-management strategies. His research interests include redundancy optimization, decision modeling, and the integration of condition-monitoring technologies into physical asset-management frameworks."
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Mohammad Rahman. 模糊成本驱动的可靠性分配与冗余分析框架:以多列蒸发系统为例[J]. 可靠性科学与工程学报(英文), 2026, 2: 015401.
Mohammad Rahman. A fuzzy cost driven framework for reliability allocation and redundancy analysis: a case study on a multi train evaporation system[J]. Journal of Reliability Science and Engineering, 2026, 2: 015401.
Mohammad Rahman. 模糊成本驱动的可靠性分配与冗余分析框架:以多列蒸发系统为例[J]. 可靠性科学与工程学报(英文), 2026, 2: 015401. DOI: 10.1088/3050-2454/ae4e8e.
Mohammad Rahman. A fuzzy cost driven framework for reliability allocation and redundancy analysis: a case study on a multi train evaporation system[J]. Journal of Reliability Science and Engineering, 2026, 2: 015401. DOI: 10.1088/3050-2454/ae4e8e.
A fuzzy cost driven framework for reliability allocation and redundancy analysis: a case study on a multi train evaporation system