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为数字双胞胎发展利用FMMEA:关于石油和天然气智能完成的案例研究

Nelson Victor Costa da Silva¹, Flavia Albuquerque Pontes¹, Mariana Santos da Silva¹

¹Instituto de Ciência e Tecnologia (ICT), Universidade Federal Fluminense (UFF), Rio das Ostras 28890-000, Brazil.

Sensors (Basel, Switzerland)

|September 27, 2025

概括

本研究介绍了用于石油和天然气行业数字双胞胎 (DT) 开发的故障模式,机制和影响分析 (FMMEA) 框架. 它增强了复杂系统的故障预测和风险管理.

科学领域:

数字工程数字工程是数字工程.
风险管理风险管理
石油和天然气行业石油和天然气行业

背景情况:

数字双胞胎 (DTs) 通过实现资产监控和优化,正在推动石油和天然气 (O&G) 部门的发展.
传统的风险评估方法,如FMEA/FMECA缺乏针对复杂系统故障的具体指导方针.
识别潜在的故障模式对于稳健的DT实现至关重要.

研究的目的:

引入一个新的故障模式,机制和影响分析 (FMMEA) 框架,用于早期的DT开发.
为分析复杂的O&G系统中的故障提供具体指导方针.
增强DTs内的预后健康管理和故障预测.

主要方法:

开发针对DTs量身定制的FMMEA框架.
将故障机制分析集成到DT生命周期中.
适应复杂系统的风险优先级指标 (例如,DPR超过RPN).
关于智能完成系统DT的案例研究应用程序.

主要成果:

FMMEA框架有效地识别和评估DT开发过程中的故障.
面向机制的故障分析提高了预测能力.
拟议的DPR指标为复杂系统提供了更合适的风险优先级.
该案例研究表明,改善了预后健康管理和透明度.

结论:

FMMEA框架提供了一种结构化的方法,用于在DT开发中分析故障.
专注于故障机制对于准确的预测和管理至关重要.
该框架提高了O&G行业的数据技术的可靠性和透明度.

关键词:

数字双胞胎数字双胞胎数字双胞胎完成系统的完成系统.决策支持系统决策支持系统失败的失败失败的失败失败的失败维护维护维护维护维护维护维护石油和天然气的石油和天然气.

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